Wireless Sensor and Actuator Networks

Wireless Sensor and Actuator Networks: Technologies, Analysis and Design

Volumn , Issue , 2008, Pages 1-362

  Verdone, Roberto ^a   Dardari, Davide ^a   Mazzini, Gianluca ^a   Conti, Andrea ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85136633619     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-372539-4.X0001-2     Document Type: Book

References (315)

1. H.M.F. AboElFotoh, S.S. Iyengar and C. Krishnendu (2005) Computing reliability and message delay for cooperative wireless distributed sensor networks subject to random failures. IEEE Transactions on Reliability 54(1), 145-154.
2. I.F. Akyildiz, W. Su, Sankarasubramaniam and E. Cayirci (2002) A survey on sensor networks. IEEE Communications Magazine 40(8), 102-114.
3. Al-Nuaimi, M.O., Stephens, R.B.L. (1998). Measurements and prediction model optimization for signal attenuation in vegetation media at centimetre wave frequencies. In: Proceedings of the IEEE on Microwaves, Antennas and Propagation, Vol. 145, pp. 201–206.
4. M.S. Alouini and M.K. Simon (2000) An MGF-based performance analysis of generalized selection combining over Rayleigh fading channels. IEEE Transactions on Communications 48 401-415.
5. O. Andrisano, A. Conti, D. Dardari and G. Pasolini (2003) Bluetooth and IEEE 802.11b coexistence: Analytical performance evaluation in fading channels. IEEE Journal on Selected Areas in Communications 21 259-269.
6. O. Andrisano, V. Tralli and R. Verdone (1998) Millimetre waves for short-range multimedia communication systems. Proceedings of IEEE 86 1383-1401.
7. O. Andrisano, R. Verdone and M. Nakagawa (2000) Intelligent transportation systems: The role of third generation mobile radio networks. IEEE Communications Magazine 38(9), 144-151.
8. Annamalai, A., Deora, G. & Tellambura, C. (2002). Unified error probability analysis for generalized selection diversity in Rician fading channels. In Proceedings of the IEEE Vehicular Technology Conference (VTC ’ 02-Spring), Vol. 4, pp. 2042–2046.
9. Arias-de Reyna, E., D'Amico, A. A. & Mengali, U. (2006). UWB energy detection receivers with partial channel knowledge. In Proceedings of the IEEE International Conference on Communications, Vol. 10, pp. 4688–4693.
10. Arici, T., Gedik, B., Altunbasak, Y. & Liu, L. (2003). Pinco: A pipelined in network compression scheme for data collection in wireless sensor networks. In Proceedings of the 12th International Conference on Computer Communications and Networks, pp. 539–544.
11. Bahl, P. & Padmanabhan, V. N. (2000). Radar: An in-building RF-based user-location and tracking system. In Proceedings of the IEEE INFOCOM 2000, Tel Aviv, Israel, pp. 775–784.
12. Batariere, M. D., Blankenship, T. K., Kepler, J. F. & Krauss, T. P. (2004). Seasonal variations in path loss in the 3.7 GHz band. In Proceeding of the IEEE Radio and Wireless Conference, 2004, pp. 399–402.
13. Bektas, F., Vondra, B., Veith, P. E., Faltin, L., Pohl, A. & Scholtz, Al. (2003). Bluetooth communication employing antenna diversity. In Proceedings of the IEEE International Symposium on Computers and Communications (ISCC 2003), Vol. 1, pp. 652–657.
14. Benzair, K. (1995). Measurements and modelling of propagation losses through vegetation at 1-4 GHz. In Proceedings of the Ninth International Conference on Antennas and Propagation, ICAP '95, Vol. 2, pp. 54–59.
15. C.H. Bettstetter (2005) Connectivity of wireless multihop networks in a shadow fading environment. Wireless Networks 11(5), 571-579.
16. Bettstetter, C. H. & Zangl, J. (2002). How to achieve a connected ad hoc network with homogeneous range assignment: An analytical study with consideration of border effects. In Proceedings of the 4th International Workshop on Mobile and Wireless Communication Networks, 2002, pp. 125–129.
17. Biaz, S. & Welch, J. (2001). Closed form bounds for clock synchronization under simple uncertainty assumptions. In Information Processing Letters, 80(3), pp. 151–157. http://www.iteseer.ist.psu.edu/biaz01closed.html
18. Bletsas, A., Shin, H., Win, M. Z. & Lippman, A. (2006). Cooperative diversity with opportunistic relaying. In Proceedings of the IEEE Wireless Commununications and Networking Conference 2006, Las Vegas, NE.
19. Bluetooth™ (2004). Specificaton of the Bluetooth System, 0-3 (Version 2.0 +EDR). http://www.standards.ieee.org/getieee802/802.15.html.
20. R.S. Blum, S.A. Kassam and H.V. Poor (1997) Distributed detection with multiple sensors – Part II: Advanced topics. Proceedings of IEEE 85(1), 64-79.
21. Booth, L., Bruck, J., Cook, M. & Franceschetti, M. (2003). Ad hoc wireless networks with noisy links. In Proceedings of the IEEE ISIT 2003, Yokohama, Japan, 29 June – 4 July 2003, p. 386.
22. Bluetooth, several information on this can be found on the Website: http://www.bluetooth.com
23. Braginsky, D. & Estrin, D. (2002). Rumor routing algorithm for sensor networks. In Proceedings of the First Workshop on Sensor Networks and Applications, Atlanta, CA, USA, WSNA'02 September 28, 2002, pp. 22–37.
24. S.M. Brennan, A.M. Mielke and D.C. Torney (2005) Radioactive source detection by sensor networks. IEEE Transaction on Nuclear Science 52(3), 813-819.
25. N. Bulusu, J. Heidemann and D. Estrin (2000) GPS-less low-cost outdoor localization for very small devices. IEEE Personal Communications 7(5), 28-34. [see also IEEE Wireless Communications].
26. C. Buratti, A. Giorgetti and R. Verdone (2005) Cross-layer design of an energy-effi cient cluster formation algorithm with carrier sensing multiple access for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking 5 672-685.
27. Cardell-Oliver, R., Smettem, K., Kranz, M. & Mayer, K. (2004). Field testing a wireless sensor network for reactive environmental monitoring. In Proceedings of the Intelligent Sensors, Sensor Networks and Information Processing Conference, December 14–17, pp. 7–12.
28. D. Cassioli, M.Z. Win and A.F. Molisch (2002) The ultra-wide bandwidth indoor channel: From statistical model to simulations. IEEE Journal on Selected Areas in Communications 20(6), 1247-1257.
29. D. Cassioli, M.Z. Win, F. Vatalaro and A.F. Molisch (2007) Low-complexity Rake receivers in ultra-wideband channels. IEEE Transactions on Wireless Communications 6(4), 1265-1275.
30. M. Cetin, L. Chen, J.W. Fisher III, A.T. Ihler, R.L. Moses, M.J. Wainwright and A.S. Willsky (2006) Distributed fusion in sensor networks [a graphical models perspective]. IEEE Signal Processing Magazine 23(4), 42-55.
31. J.-F. Chamberland and V.V. Veeravalli (2003) Decentralized detection in sensor networks. IEEE Transactions on Signal Processing 51(2), 407-416.
32. Y.-L. Chao and R.A. Scholtz (2005) Ultra-wideband transmitted reference systems. IEEE Transactions on Vehicular Technology 54(5), 1556-1569.
33. D. Chazan, M. Zakai and J. Ziv (1975) Improved lower bounds on signal parameter estimation. IEEE Transactions Information Theory 21(1), 90-93.
34. B. Chen, K. Jamieson, H. Balakrishnan and R. Morris (2001) Span: An energy effi cient coordination algorithm for topology maintenance in ad hoc wireless networks. Proceedings of MobiCom 70-80.
35. B. Chen, L. Tong and P.K. Varshney (2006) Channel-aware distributed detection in wireless sensor networks. IEEE Signal Processing Magazine 23(4), 16-26.
36. B. Chen, R. Jiang, T. Kasetkasem and P.K. Varshney (2004) Channel-aware decision fusion in wireless sensor networks. IEEE Transactions on Signal Processing 52(12), 3454-3458.
37. Y. Chen and Q. Zhao (2005) On the lifetime of wireless sensor networks. IEEE Communication Letters 9(11), 976-978.
38. Cheong, P., Rabbachin, A., Montillet, J. P., Yu, K. & Oppermann, I. (2005). Synchronization, TOA and position estimation for low-complexity LDR UWB devices. In Proceedings of the IEEE International Conference on Utra-Wideband, Zurich, Switzerland, pp. 480–484.
39. M. Chiani, A. Conti and R. Verdone (2001) Partial compensation signal-level-based up-link power control to extend terminal battery duration. IEEE Transactions on Vehicular Technology 50(4), 1125-1131.
40. C.-F. Chiasserini and R.R. Rao (1999) A model for battery pulsed discharge with recovery effect. WCNC'99, New Orleans, USA September
41. C.-F. Chiasserini and R.R. Rao (2000) Stochastic battery discharge in portable communication devices. Proceedings of the 15th Annual Battery Conference on Applications and Advances, Long Beach, USA January
42. Chipcon Products from Texas Instruments, URL: http://www.chipcon.com
43. J.D. Choi and W.E. Stark (2002) Performance of ultra-wideband communications with suboptimal receivers in multipath channels. IEEE Journals on Selected Areas in Communications 20(9), 1754-1766.
44. C.-C. Chong and S.K. Yong (2005) A generic statistical-based UWB channel model for high-rise apartments. IEEE Transactions on Antennas and Propagation 53(8), 2389-2399.
45. C.-Y. Chong and S.P. Kumar (2003) Sensor networks: evolution, opportunities, and challenges. Proceedings of IEEE 91(8), 1247-1256.
46. Conti, A. & Dardari, D. (2004). The effects of node spatial distribution on the performance of wireless sensor networks. In Proceedings of the IEEE of Vehicular Technology Conference (VTC 2004-Spring), Vol. 5, pp. 2724–2728.
47. A. Conti, M.Z. Win, M. Chiani and J.H. Winters (2003) Bit error outage for diversity reception in shadowing environment. IEEE Communication Letters 7 15-17.
48. Cox, D., Jovanov, E., Milenkovic, A. (2005). Time synchronization for ZigBee networks. In Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, SSST '05, pp. 135–138.
49. R.J. Cramer, R.A. Scholtz and M.Z. Win (2002) An Evaluation of the Ultra-Wideband Propagation Channel. IEEE Transactions on Antennas and Propagation 50(5), 561-570.
50. Crossbows (2003). Crossbow User Manual: MPR Mote Processor Radio Board, MIB Mote Interface, Programming Board User 's Manual MPR500CA, MPR510CA, MPR520CA, MPR400CB, MPR410CB, MPR420CB, MPR300CA, MPR310CA, MIB300CA, MIB500CA, MIB510CA, Revised edition. Crossbow.
51. CRUISE, WP112, D112.1: Report on WSN applications, their requirements, application-specific WSN issues and evaluation metrics, December 2006, website: http://www.ist-cruise.eu.
52. CRUISE, WP112, D112.2: Update on WSN applications, their requirements, application-specific WSN issues and evaluation metrics, December 2006, website: http://www.istcruise.eu
53. D. Culler, D. Estrin and M. Srivastava (2004) Overview of sensor networks. IEEE Computer 37(8), 41-49.
54. Dalley, J. E. J., Smith, M. S. & Adams, D. N. (1999). Propagation losses due to foliage at various frequencies. In Proceedings of the IEE National Conference on Antennas and Propagation, 1999, pp. 267–270.
55. D. Dardari (2007) On the connected nodes position distribution in ad hoc wireless networks with statistical channel models. IEEE Transactions on Wireless Communications Submitted
56. Dardari, D. (2007). On the connected nodes position distribution in ad hoc wireless networks with statistical channel models. In Proceedings of the IEEE International Conference on Communications, ICC 2007, Glasgow, UK.
57. D. Dardari, C.C. Chong and M.Z. Win (2008) Threshold-based time-of-arrival estimators in UWB dense multipath channels. IEEE Transactions on Communication
58. Dardari, D. & Conti, A. (2004). A sub-optimal hierarchical maximum likelihood algorithm for collaborative localization in ad-hoc networks. In Proceedings of the First IEEE International Conference on Sensor and Ad hoc Communications and Networks, SECON 2004, Santa Clara, CA, pp. 425–429.
59. D. Dardari, A. Conti, C. Buratti and R. Verdone (2007) Mathematical evaluation of environmental monitoring estimation error through energy-efficient wireless sensor networks. IEEE Transactions on Mobile Computing 6(7)
60. Dardari, D., Chong, C.-C. & Win, M. Z. (2006a). Analysis of threshold-based ToA estimators in UWB channels. In Proceedings of the European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, Invalid paper.
61. Dardari, D., Chong, C.-C. & Win, M. Z. (2006b). Improved lower bounds on time-ofarrival estimation error in realistic UWB channels. In Proceedings of the IEEE International Conference on Ultra-Wideband, ICUWB 2006, Waltham, MA, USA.
62. Dardari, D., Giorgetti, A., Chiani, M. & Win, M. Z. (2006). A stop-and-go transmitted-reference UWB receiver. In Proceedings of the IEEE International Conference on Ultra-Wideband, ICUWB 2006, Waltham, MA, USA.
63. Dardari, D., Giorgetti, A. & Win, M. Z. (2007). Time-of-arrival estimation in the presence of narrow and wide bandwidth interference in UWB channels. In Proceedings of the IEEE International Conference on Ultra-Wideband, ICUWB 2007, Singapore, Invited paper.
64. Dardari, D. & Win, M. Z. (2006). Threshold-based time-of-arrival estimators in UWB dense multipath channels. In Proceedings of the IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey.
65. Dardari, D., Chong, C.-C. & Win, M. Z. (2008). Thresholdbased time-of-arrival estimators in UWB dense multipath channels. IEEE Transactions on Communications, 56, to be published.
66. Dardari, D., Fabbri, F. & Verdone, R. (2008). Mathematical characterization of connectivity in wireless networks with arbitrary channel models. IEEE Transactions on Wireless Communications, Submitted.
67. D. Dardari, A. Conti, U. Ferner, A. Giorgetti and M.Z. Win (2008) Ranging in UWB channels: from Theory to Practice. Proceedings of IEEE, Special Issue on UWB Technology and Emerging Applications
68. Dardari, D., Conti, A. & Lien, J. (2008). The effect of cooperation in UWB-based positioning systems using experimental data. EURASIP Journal on Advances in Signal Processing, Special Issue on Cooperative Localization in Wireless Ad Hoc and Sensor Networks, Submitted.
69. DePedri, A., Zanella, A. & Verdone, R. (2003). An energy-efficient protocol for wireless ad hoc sensor networks. In Proceedings of the IEEE International Symposium on Autonomous Intelligent Networks and Systems (AINS ’ 03), Menlo Park, CA, June 30 – July 1, 2003.
70. E.W. Dijkstra (1959) A note on two problems in connexion with graphs. Numerische Mathematik 1 269-271.
71. Doherty, L., Pister, K.S. & Ghaoui, L.E. (2001). Convex position estimation in wireless sensor networks. In Proceedings of the Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. INFOCOM 2001, Vol. 3, pp. 1655–1663.
72. Dousse, O., Thiran, P. & Hasler, M. (2002). Connectivity in ad hoc and hybrid networks. In Proceedings of the 21st Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM02, New York, USA, Vol. 2, pp. 1079–1088.
73. Dyck, R.E.V. (2001). Detection performance in self-organized wireless sensor networks. In Proceedings of the Conference on Information Science and Systems, Baltimore, ML, USA.
74. ECMA368 ecma-international (2006). High rate ultra-wideband PHY and MAC standard. http://www.ecma-international.org/publications/files/ECMA-ST/ECMA368.pdf.
75. Ekahau (n.d.). Ekahau positioning system. Available online: www.ekahau.com
76. Elnahrawy, E., Xiaoyan, L. & Martin, R. P. (2004). The limits of localization using signal strength: A comparative study. In IEEE Proceedings of the Sensor and Ad Hoc Communications and Networks (SECON ’ 04), pp. 406–414.
77. J. Elson and K. Romer (2003) Wireless sensor networks: A new regime for time synchronization. SIGCOMM Computer Communication Review 33(1), 149-154.
78. Elson, J. & Estrin, D. (2001). Time synchronization for wireless sensor networks. In Proceedings of the 15th International Parallel and Distributed Processing Symposium, pp. 1965–1970.
79. J. Elson, L. Girod and D. Estrin (2002) Fine-grained network time synchronization using reference broadcasts. SIGOPS Operating Systems Review 36(SI), 147-163.
80. E.B. Ermis, M. Alanyali and V. Saligrama (2006) Search and discovery in an uncertain networked world [how signal processing algorithms should be designed for this application]. IEEE Signal Processing Magazine 23(4), 107-118.
81. e-SENSE, WP1, D1.2.1: Scenarios and audio visual concepts, September 2006, website: http://www.ist-esense.org
82. Esseghir, M., Bouabdallah, N., Pujolle, G. (2005). A novel approach for improving wireless sensor network lifetime. In Proceeding of PIMRC, Berlin, Vol. 4, 11–14 September 2005.
83. European Commission (2007) Commission decision of 21 February 2007 on allowing the use of the radio spectrum for equipment using ultra-wideband technology in a harmonised manner in the community. Official Journal of the European Union C(2007), 522.
84. Falsi, C. Dardari, D. Mucchi L. & Win, M. Z. (2006). Time of arrival estimation for UWB localizers in realistic environments. EURASIP Journal on Applied Signal Processing (Special Issue on Wireless Location Technologies and Applications), 2006, Article ID 32082, 13 pages.
85. Fan, R., Lynch, N. (2004). Gradient clock synchronization, In: PODC04, Proceedings of the Fifth Annual ACM Symposium on Principles of Distributed Computing, St John 's, Newfoundland, Canada
86. Fanimokun, A. & Frolik, J. (2003). Effects of natural propagation environments on wireless sensor network coverage area. In Proceedings of the 35th Southeastern Symposium on System Theory, 2003, pp. 16–20.
87. Federal Communications Commission (adopted February 14, 2002, released April 22, 2002). Revision of Part 15 of the Commission 's rules regarding ultra-wideband transmission systems, First Report and Order (ET Docket 98–153).
88. Ferrari, G., Tonguz, O. K. & Bhatt, M. (2004). Impact of receiver sensitivity on the performance of sensor networks. In Proceedings of the IEEE 59th Vehicular Technology Conference, 2004, VTC 2004-Spring, Vol. 3, pp. 1350–1354.
89. Foh, C. H. & Lee, B. S. (2004). A closed form network connectivity formula one-dimensional MANETs. In Proceedings of the IEEE International Conference on Communications, ICC 2004, Paris, France, Vol. 6, pp. 3739–3742.
90. D. Fox, J. Hightower, L. Liao, D. Schulz and G. Borriello (2003) Bayesian fi ltering for location estimation. IEEE Pervasive Computing 2(3), 24-33.
91. H. Fu and P.Y. Kam (2005) Performance comparison of selection combining schemes for binary DPSK on non-selective Rayleigh-fading channels with interference. IEEE Transactions on Wireless Communications 4 192-201.
92. Ganeriwal, S., Kumar, R. & Srivastava, M. (2003). Timing synch protocol for sensor networks. In Proceedings of the ACM SenSys, Los Angeles, CA.
93. W.A. Gardner (1990) Introduction to Random Processes with Applications to Signals and Systems. 2nd edn. New York: McGraw-Hill
94. M. Gastpar, M. Vetterli and P.L. Dragotti (2006) Sensing reality and communicating bits: A dangerous liaison [Is digital communication sufficient for sensor networks?]. IEEE Signal Processing Magazine 23(4), 70-83.
95. S. Gezici, Z. Tian, G.B. Giannakis, H. Kobayashi, A.F. Molisch, H.V. Poor and Z. Sahinoglu (2005) Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks. IEEE Signal Processing Magazine 22 70-84.
96. Gifford, W. M. & Win, M. Z. (2004). On transmitted-reference UWB communications. In: Proceedings of the 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1526–1531, Invited Paper.
97. A. Giorgetti, M. Chiani and M.Z. Win (2005) The effect of narrowband interference on wideband wireless communication systems. IEEE Transactions on Communications 53(12), 2139-2149.
98. N. Golmie, N. Chevrollier and O. Rebala (2003) Bluetooth and WLAN coexistence: Challenges and solutions. IEEE Wireless Communications 10(Article ID 78954), 22-29.
99. Guo, C., Zhong, L. C. & Rabaey, J. M. (2001). Low power distributed MAC for ad hoc sensor radio networks. In Proceedings of the Globecom 2001, Vol. 5, pp. 2944–2948.
100. Guo, Y., Corke, P., Poulton, G., Wark, T., Bishop-Hurley, G., Swain, D. (2006). Animal behaviour understanding using wireless sensor networks. ICN. Proceedings, 2006, 31st IEEE Conference on Local Computer Networks, 2006, pp. 607–614.
101. Gupta, P. & Kumar, P. R. (1998). Critical power for asymptotic connectivity. In Proceedings of the 37th IEEE Conference on Decision and Control, Tampa, USA, Floride, Vol. 1, 16–18 December, 1998, pp. 1106–1110.
102. P. Gupta and P.R. Kumar (2000) The capacity of wireless networks. IEEE Transactions on Information Theory 46(2), 388-404.
103. Guvenc, I. & Sahinoglu, Z. (2005 a). Threshold-based TOA estimation for impulse radio UWB systems. In Proceedings of the IEEE International Conference on Utra-Wideband, Zurich, Switzerland, pp. 420–425.
104. Guvenc, I. & Sahinoglu, Z. (2005 b). TOA estimation with different IR-UWB transceiver types. In Proceedings of the IEEE International Conference on Utra-Wideband, Zurich, Switzerland, pp. 426–431.
105. P. Haschberger, M. Bundschuh and V. Tank (1996) Infrared sensor for the detection and protection of wildlife. Optical Engineering 35(3), 882-889.
106. M. Hawkes and A. Nehorai (2003) Wideband source localization using a distributed acoustic vector-sensor array. IEEE Transactions on Signal Processing 51(6), 1479-1491.
107. He, T., Huang, C. Blum, B. M. Stankovic, J. A. & Abdelzaher, T. (2003). Range-free localization schemes for large-scale sensor networks. In Proceedings of the ACM MobiCom 2003, San Diego, CA.
108. S. Hedetniemi and A. Liestman (1988) A survey of gossiping and broadcasting in communication networks. Networks 18(4), 319-349.
109. Heinzelman, W., Chandrakasan, A. & Balakrishnan, H. (2000). Energy-effi cient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Hawaii International Conference on System Sciences, Vol. 2.
110. W.B. Heinzelman, A.P. Chandrakasan and H. Balakrishnan (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1 660-670.
111. J. Hightower and G. Borriello (2001) Location systems for ubiquitous computing. Computer 34(8), 57-66.
112. Y.-W. Hong and A. Scaglione (2005) A scalable synchronization protocol for large-scale sensor networks and its applications. IEEE Journal on Selected Areas in Communications 23(5), 1085-1099.
113. Hong, Y.-W., Scaglione, A. & Varshney, P. K. (2005). A communication architecture for reaching consensus in decision for a large network. In Proceedings of the IEEE Workshop on Statistical Signal Processing, Paris, France, pp. 1220–1225.
114. Hu, Z. & Li, B. (2004). On the fundamental capacity and lifetime limits of energy-constrained wireless sensor networks. In Proceedings of IEEE RTAS 2004, Toronto, 25–28 May 2004, pp. 2–9.
115. IEEE (2006). Signal Processing Magazine Special Issue. Distributed signal processing in sensor networks.
116. IEEE 802.15.4 Standard (2006). Part 15.4: Wireless medium access control (Mac) and physical layer (Phy) specifications for low-rate wireless personal area networks (lr-wpans). http://www.standards.ieee.org/getieee802/802.15.html
117. IEEE 802.15.4a Standard (2007). Part 15.4: Wireless MAC and PHY specifi cations for low-rate wireless personal area networks (LR-WPANs): Amendment to add alternate PHY., August 2007.
118. IEEE 802.15.4 website: http//www.eee802.org/15/pub/TG4.html
119. IEEE 802.15.1 website: http://www.ieee802.org/15/pub/TG1.html
120. Intanagonwiwat, C., Govindan, R. & Estrin, D. (2000). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the ACM Mobi-Com, pp. 56–67.
121. W.C. Jakes (1995) Microwave Mobile Communications. Classic reissue edition NJ: IEEE Press, Piscataway
122. Jourdan, D. B., Dardari, D. & Win, M. Z. (2006a). Position error bound and localization accuracy outage in dense cluttered environments. In Proceedings of the IEEE International Conference on Ultra-Wideband, ICUWB 2006, Waltham, MA, USA.
123. Jourdan, D., Dardari, D. & Win, M. Z. (2006b). Position error bound for UWB localization in dense cluttered environments. In Proceedings of the IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey.
124. Jourdan, D. B., Dardari, D. & Win, M. Z. (2007). Position error bound for UWB localization in dense cluttered environments. IEEE Transactions on Aerospace and Electronic Systems, 43, 2007, to be published.
125. Jourdan, D. B., Deyst, J. J., Win, M. Z. & Roy, N. (2005). Monte-Carlo localization in dense multipath environments using UWB ranging. In Proceedings of the IEEE International Conference on Utra-Wideband, Zürich, Switzerland, pp. 314–319.
126. Kimura, N. & Latifi, S. (2005). A survey on data compression in wireless sensor networks. In Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC ’ 05), Vol. 2, pp. 8–13.
127. S. Kingsland (1982) The refractory model: The logistic curve and the history of population ecology. Quarterly Review of Biology 57 29-52.
128. J. Kulik, W. Heinzelman and H. Balakrishnan (2002) Negotiation-based protocols. Wireless Networks 8 169-185.
129. Kumar, S., Lai, T. H. & Balogh, J. (2004). On-coverage in a mostly sleeping sensor network. In Proceedings of the Tenth Annual International Conference on Mobile Computing and Networking (ACM MobiCom), Philadelphia, PA, pp. 144–158.
130. Kumar, S., Arora, A. & Lai, T. H. (2005). On the lifetime analysis of always-on wireless network applications. In Proceeding of MASS 2005, Washington, DC November 7–10.
131. J.N. Laneman, D.N.C. Tse and G.W. Wornell (2004) Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory 50(12), 3062-3080.
132. J.N. Laneman and G.W. Wornell (2003) Distributed space–time coded protocols for exploiting cooperative diversity in wireless networks. IEEE Transactions on Information Theory 59 2415-2525.
133. K. Langendoen and N. Reijers (2003) Distributed localization in wireless sensor networks: A quantitative comparison. Computer Networks 43 499-518.
134. J.-Y. Lee and R.A. Scholtz (2002) Ranging in a dense multipath environment using an UWB radio link. IEEE Journal on Selected Areas in Communications 20(9), 1677-1683.
135. N. Levanon (2000) Lowest GDOP in 2-D scenarios. IEE Proceedings Radar, Sonar, Navigation 147(3), 149-155.
136. Lindsey, S. & Raghavendra, C. (2002 September). Pegasis: Power-efficient gathering in sensor information systems. In Proceeding of the IEEE Aerospace Conference, Vol. 3, pp. 1125–1130.
137. Liu, X. & Srikant, R. (2004). An information-theoretic view of connectivity in wireless sensor networks. In Proceedings of the First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks. 2004 SECON, pp. 508–516.
138. Lu, G., Krishnamachari B. & Raghavendra, C. S. (2004). An adaptive energy effi cient and low-latency MAC for data gathering in wireless sensor networks. In Proceedings of the 18th International Parallel and Distributed Processing Symposium.
139. Lucchi, M., Giorgetti, A. & Chiani, M. (2005). Cooperative diversity in wireless sensor networks. In Proceedings of the 8th International Symposium on Wireless Personal Multimedia Communications (WPMC'05), Aalborg, DK, September 2005, pp. 1738–1742.
140. J. Lundelius-Welch and N.A. Lynch (1984) An upper and lower bound for clock synchronization. Information and Control 62 190-204.
141. Z-Q. Luo, M. Gastpar, J. Liu and A. Swami (2006) Distributed signal processing in sensor networks [from the guest editors]. IEEE Signal Processing Magazine 23(4), 14-15.
142. Y. Ma and C.C. Chai (2000) Unified error probability analysis for generalized selection combining in nakagami fading channels. IEEE Journal on Selected Areas in Communications 18 2198-2210.
143. Manjeshwar, A. & Agarwal, D. P. (2001). Teen: A routing protocol for enhanced effi ciency in wireless sensor networks. In Proceedings of the 15th International Workshop on Parallel and Distributed Processing Symposium, pp. 2009–2015.
144. Maroti, M., Kusy, B., Simon, G. & Ledeczi, A. (2004). The flooding time synchronization protocol. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, Maryland, USA, pp. 39–49.
145. P.J. Marron, D. Minder and Embedded WiSeNts Consortium (2006) Embedded WiseNts Research Roadmap. Berlin, Germany: Information Society Technologies
146. Marvasti, F. (1986). Signal recovery from nonuniform samples and spectral analysis on random nonuniform samples. In Proceedings of the IEEE International Conference on Acoustic, Speech, and Signal Processing, Vol. 11, pp. 1649–1652.
147. B. Masini, A. Conti, D. Dardari and G. Pasolini (2006) Exploiting diversity for coverage extension of Bluetooth-based mobile services. EURASIP Journal on Wireless Communications and Networking 20(Article ID 78954), 1-9.
148. Masini, B., Dardari, D., Conti, A. & Pasolini, G. (2006a) Selection diversity for Bluetooth in the presence of IEEE802.11g interference. In Proceedings of the IEEE Personal, Indoor and Mobile Radio Communications, 2006 (PIMRC ’ 06), pp. 1–5.
149. Masini, B., Dardari, D., Conti, A. & Pasolini, G. (2006b). Selection diversity for Bluetooth in the presence of IEEE802.11g interference. In Proceedings of the IEEE Vehicular Technology Conference, 2006 (VTC’ 06 Fall), pp. 1–5.
150. Masini, B. M., Conti, A., Pasolini, G. & Dardari, D. (2008). On the benefits of diversity schemes for Bluetooth coverage extension in the presence of IEEE802.11g interference. Wireless Communications and Mobile Computing, Vol. 7. Wiley InterService, pp. 1–11.
151. E. Masry (1978) Poisson sampling and spectral estimation of continuous-time processes. IEEE Transactions on Information Theory IT-24 173-183.
152. D.L. Mills (1991) Internet time synchronization: The network time protocol. IEEE Transactions on Communications 39(10), 1482-1493.
153. Molisch, A. F., Balakrishnan, K., Cassioli, D., Chong, C-C., Emami, S., Fort, A., Karedal, J., Kunisch, J., Schantz, H., Schuster, U. & Siwiak, K. (2005). IEEE 802.15.4a channel model–Final report.
154. A.F. Molisch, D. Cassioli, C-C. Chong, S. Emami, A. Fort, B. Kannan, J. Karedal, J. Kunisch, H. Schantz, K. Siwiak and M.Z. Win (2006) A comprehensive standardized model for ultra-wideband propagation channels. IEEE Transactions on Antennas and Propagation 54(11), 3151-3166. Special Issue on Wireless Communications.
155. A.J. Motley and J.M.P. Keenan (1988) Personal communication radio coverage in buildings at 900 MHz and 1700 MHz. Electronics Letters 24(12), 763-764.
156. Muthukrishnan, K., Lijding, M. & Havinga, P. J. M. (2005). Towards smart surroundings: Enabling techniques and technologies for localization. In Strang, T. & Linnhoff-Popien, C. (eds), Proceedings of the First International Workshop on Location- and Context-Awareness (LoCA 2005), Berlin, Vol. 3479, pp. 350–362.
157. Nemati, M. A., Mitra U. & Scholtz, R. A. (2006). Optimum integration time for UWB transmitted reference and energy detector receivers. In Proceedings of the MILCOM 2006, pp. 1–7.
158. R. Nemzek, J. Dreicer, D.C. Torney and T. Warnock (2004) Distributed sensor networks for detection of mobile radioactive sources. IEEE Transaction on Nuclear Science 51(4), 1693-1700.
159. Niculescu, D. & Nath, B. (2001). Ad hoc positioning system (APS). In Proceedings of the Global Telecommunications Conference, 2001 (GLOBECOM '01. IEEE), Vol. 5, pp. 2926–2931.
160. R. Niu, B. Chen and P. Varshney (2006) Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks. IEEE Transactions on Signal Processing 54(3), 1018-1026.
161. R. Niu and P.K. Varshney (2005) Distributed detection and fusion in a large wireless sensor network of random size. EURASIP Journal on Wireless Communications Network 5(4), 462-472.
162. J. Orriss and S.K. Barton (2003) Probability distributions for the number of radio transceivers which can communicate with one another. IEEE Transactions on Communications 51(4), 676-681.
163. D.A. Pados, K.W. Halford, D. Kazakos and P. Papantoni-Kazakos (1995) Distributed binary hypothesis testing with feedback. IEEE Transactions on Systems, Man, and Cybernetics 25(1), 21-42.
164. J.D. Parsons (1992) The Mobile Radio Propagation Channel, (1st edn. NY : New York: John Wiley
165. N. Patwari, J.N. Ash, S. Kyperountas, A.O. III Hero, R.L. Moses and N.S. Correal (2005) Locating the nodes: Cooperative localization in wireless sensor networks. IEEE Signal Processing Magazine 22(4), 54-69.
166. Pavani, T., Costa, G., Mazzotti, M., Conti, A. & Dardari, D. (2006). Experimental results on indoor localization techniques through wireless sensors network. In Proceedings of the IEEE of Vehicular Technology Conference (VTC 2006) Spring, Vol. 2, pp. 663–667.
167. Pavani, T., Costa, G., Mazzotti, M., Dardari D. & Conti, A. (2006). Experimental results on indoor localization technique through wireless sensors network. In Proceedings of the IEEE Vehicular Technology Conference (VTC 2006-Spring), Melbourne, Australia.
168. Pavani, T., Dardari, D., Conti, A. & Andrisano, O. (2007). Localization and immersive guide in indoor mobile environments through wireless sensor networks: A support for emergency situations. In Proceedings of the IEEE Conference on Wireless Rural and Emergency Communications, WRECOM 2007 ’, Rome, Italy, 6 pp.
169. M.D. Penrose (1997) The longest edge of the random minimal spanning tree. Annals of Applied Probability 7(2), 340-361.
170. M.D. Penrose (1999) A strong law for the longest edge of the minimal spanning tree. Annals of Applied Probability 27 246-260.
171. Perur, S. & Iyer, S. (2006). Characterization of a connectivity measure for sparse wireless multihop networks. In Proceedings of the 26th IEEE International Conference on Distributed Computing Systems, 2006 ICDCS, pp. 80–80.
172. Petrovic´, D., Shah, R. C., Ramchandran, K. & Rabaey, J. (2003). Data funneling: Routing with aggregation and compression for wireless sensor networks. In Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Appplications, pp. 156–162.
173. T.K. Philips, S.S. Panwar and A.N. Tantawi (1989) Connectivity properties of a packet radio network model. IEEE Transactions on Information Theory 35(5), 1044-1047.
174. Pinto, P. C. & Win, M. Z. (2006 a). Communication in a Poisson field of interferers. In Proceedings of the Conference on Information Science and Systems, Princeton, NJ, March, pp. 432–437.
175. Pinto, P. C. & Win, M. Z. (2006 b). Design of covert military networks: A spectral outage-based approach. In Proceedings of the Military Commununication & Conference, Washington, DC, October, pp. 1–6.
176. Pinto, P. C., Chong, C.-C., Giorgetti, A., Chiani, M., & Win, M. Z. (2006 c) Narrowband communication in a Poisson field of ultrawideband interferers. In Proceedints of the IEEE International Conference on Utra-Wideband, Best Student Paper Award. Waltham, MA, pp. 387–392
177. Pinto, P. C. & Win, M. Z. (2006d). Spectral outage due to cumulative interference in a Poisson field of nodes. In Proceedings of the IEEE Global Telecommunication Conference, San Francisco, CA, pp. 1–6.
178. Pinto, P. C. & Win, M. Z. (2007 December). Spectral characterization of wireless networks. IEEE Wireless Communications Magazine, Special Issue on Wireless Sensor Networking.
179. J.K. Pottie and W.J. Kaiser (2000) Wireless integrated network sensors. Communications of ACM 43(5), 51-58.
180. S.S. Pradham, J. Kusuma and K. Ramchandran (2002) Distributed compression in a dense microsensor network. IEEE Signal Processing Magazine 19 51-60.
181. J.B. Predd, S.R. Kulkarni and H.V. Poor (2006) Distributed learning in wireless sensor networks: Applications issues and the problem of distributed inference. IEEE Signal Processing Magazine 23(4), 56-69.
182. Premkumar, K. & Srinivasan, S. H. (2005). Diversity techniques for interference mitigation between IEEE 802.11 WLANs and Bluetooth. In Proceedings of the IEEE Personal, Indoor and Mobile Radio Communications, 2005 (PIMRC'05), Vol. 3, pp. 1468–1472.
183. Priyantha, N. B., Balakrishnan, H., Demaine, E. & Teller, S. (2003). Anchor-free distributed localization in sensor networks, Tech Report 892, MIT Laboratory for Computer Science. Available at: http://www.nms.lcs.mit.edu/cricket.
184. J.G. Proakis (2001) Digital Communications. 4th edn. New York: McGraw-Hill
185. R. Puri, A. Majumdar, P. Ishwar and K. Ramchandran (2006) Distributed video coding in wireless sensor networks; exploiting the spatiotemporal redundancy in brodband networks. IEEE Signal Processing Magazine 23(4), 94-106.
186. Quek, T. Q.-S. & Win, M. Z. (2004). Performance analysis of ultrawide bandwidth transmitted-reference communications. In Proceedings of the IEEE Semiannual Vehicular Technology Conference, Italy, Milan, Vol. 3, pp. 1285–1289.
187. Quek, T. Q.-S., & Win, M. Z. (2004). Ultrawide bandwidth transmitted reference signaling. In Proceedings of the IEEE International Conference on Communications. Paris, France, Vol. 6, pp. 3409–3413.
188. T.Q.S. Quek and M.Z. Win (2005 September) Analysis of UWB transmitted reference communication systems in dense multipath channels. IEEE Journal on Selected Areas in Communications 23(9), 1863-1874.
189. Quek, T. Q.-S., Win, M. Z. & Dardari, D. (2005 September). UWB transmitted-reference signaling schemes – Part I: Performance analysis. In: Proceedings of the IEEE International Conference on Utra-Wideband, Zürich, Switzerland, pp. 587–592.
190. Quek, T. Q.-S., Win, M. Z. & Dardari, D. (2005 September). UWB transmitted-reference signaling schemes – Part II: Narrowband interference analysis. In Proceedings of the IEEE International Conference on Utra-Wideband, Zürich, Switzerland, pp. 593–598.
191. Quek, T. Q. S., Dardari, D. & Win, M. Z. (2006a). Cooperation in bandwidth-constrained wireless sensor networks. In Proceedings of the IEEE International Workshop Wireless Ad Hoc Sensor Networks, New York, NY, USA.
192. Quek, T. Q. S., Dardari, D. & Win, M. Z. (2006b). Energy effi ciency of cooperative dense wireless sensor networks. In Proceedings of the International Wireless Communications and Mobile Computing Conference, IWCMC 2006, Vancouver, Canada, pp. 1323–1330.
193. Quek, T. Q. S., Dardari, D. & Win, M. Z. (2006c), Energy efficiency of dense wireless sensor networks: To cooperate or not to cooperate. In Proceedings of the IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey, Vol. 10, pp. 4479–4484.
194. T.Q.S. Quek, D. Dardari and M.Z. Win (2007) Energy efficiency of dense wireless sensor networks: To cooperate or not to cooperate. IEEE JSAC (Special Issue on Cooperative Communications and Networking) 25(2), 459-470.
195. T.Q.S. Quek and M.Z. Win (2005) Analysis of UWB transmitted-reference communication systems in dense multipath channels. IEEE Journal m Selected Areas in Communications 23(9), 1863-1874.
196. T.Q.S. Quek, M.Z. Win and D. Dardari (2007) Analysis of UWB transmitted-reference schemes with narrowband interference. IEEE Transactions on Wireless Communications 6(5)
197. T.Q.S. Quek, M.Z. Win and D. Dardari (2007 June) Unified analysis of UWB transmitted-reference schemes in the presence of narrowband interference. IEEE Transactions on Wireless Communications Vol. 6(6), 2126-2139.
198. Rabbachin, A., Oppermann, I. & Denis, B. (2006). ML time-of-arrival estimation based on low complexity UWB energy detection. In Proceedings of the IEEE International Conference on Utra-Wideband (ICUWB), Waltham, MA, pp. 599–604.
199. C.S. Raghavendra, K. Sivalingam and T. Znati (2004) Wireless Sensor Networks. Kluwer Springer
200. V. Rajendran, K. Obraczka and J.J. Garcia-Luna-Aceves (2003) Energy-effi cient, collision-free medium access control for wireless sensor networks. Proceedings of the ACM SenSys 03 181-192.
201. T.S. Rappaport (1996) Wireless Communications. 1st edn. New Jersey: Upper Saddle River, Prentice Hall
202. A. Ridolfi and M.Z. Win (2006) Ultrawide bandwidth signals as shot-noise: a unifying approach. IEEE Journal on Selected Areas in Communications 24(4), 899-905.
203. V. Rodoplu and T.H. Meng (1999) Minimum energy mobile wireless networks. IEEE Journal on Selected Areas in Communication 17(8), 1333-1344.
204. Romer, K. (2003). Temporal message ordering in wireless sensor networks. IFIP Mediterrerranean workshop on Ad-Hoc Networks 2003, Mahdia, Tunisia, June 2003, pp. 131–142.
205. R. Rugin and G. Mazzini (2004) A simple and efficient MAC-routing integrated algorithm for sensor network. Proceedings of the ICC 6 3499-3503.
206. Sahin, M. E., Guvenc, I. & Arslan, H. (2005). Optimization of energy detector receivers for UWB systems, In Proceedings of the IEEE 61st ‘ Vehicular Technology Conference, 2005 (VTC 2005) Spring. Vol. 2, pp. 1386–1390.
207. Salbaroli, E. & Zanella, A. (2006). A connectivity model for the analysis of a wireless ad-hoc network of finite area. In Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, 2006 SECON ’ 06, Vol. 3, pp. 756–760.
208. A. Saleh and R.A. Valenzuela (1987) A statistical model for indoor multipath propagation. IEEE Journal on Selected Areas in Communication 5(2), 128-137.
209. P. Santi (2005) Topology Control in Wireless Ad Hoc and Sensor Networks. Chichester, UK: John Wiley
210. T.A. Santoni, J.F. Santucci, E. De Gentili and B. Costa (2006) Using wireless sensor network for wildfire detection. A discrete event approach of environmental monitoring tool. Proceeding of ISEIMA 06 115-120.
211. Savarese, C., Rabaey, J. M., & Beutel, J. (2001). Location in distributed ad-hoc wireless sensor networks. In Proceedings of the 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001 (ICASSP '01). Salt Lake City, Utah, May 2001, Vol. 4, pp. 2037–2040.
212. Savvides, A., Park, H. & Srivastava, M. (2002). The bits and flops of the N-hop multilateration primitive for node localization problems. In Proceedings of the First ACM Workshop on Wireless Sensor Networks and Application, (WSNA), Atlanta, GA, pp. 112–121.
213. A. Savvides, W.L. Garber, R.L. Moses and M.B. Srivastava (2005) An analysis of error inducing parameters in multihop sensor node localization. IEEE Transactions on Mobile Computing 4(6), 567-577.
214. A.H. Sayed, A. Tarighat and N. Khajehnouri (2005) Network-based wireless location: Challenges faced in developing techniques for accurate wireless location information. IEEE Signal Processing Magazine 22(4), 24-40.
215. C. Schurgers and M.B. Srivastava (2001) Energy-efficient routing in wireless sensor networks. IEEE Military Communications Conference 1 357-361.
216. Scott, J. C. (1998). Applications of telecommunications and information technology for humanitarian health initiatives. Proceeding of Medical Technology Symposium, 17–20, August, pp. 197–204.
217. A. Sendonaris, E. Erkip and B. Aazhang (2003) User cooperation diversity – Part II: Implementation aspects and performance analysis. IEEE Transaction on Communications 51(11), 1939-1948.
218. A. Sendonaris, E. Erkip and B. Aazhang (2003) User cooperation diversity – Part I: System description. IEEE Transactions on Communications 51(11), 1927-1938.
219. Severi, S., Liva, G. Chiani, M. & Dardari, D. (2007). A new low-complexity user tracking algorithm for WLAN-based positioning systems. In Proceedings of the 16th IST Mobile and Wireless Communications Summit, Budapest, Hungary, July 2007, pp. 1–5.
220. Severi, S. & Dardari, D. (2008). Performance limits of time synchronization in wireless sensor networks. In IEEE International Conference on Communications, ICC 2008, Beijing, China, May 2008.
221. Z. Shainoglu and I. Guvenc (2006) Multiuser interference mitigation in noncoherent UWB ranging via nonlinear fi ltering. EURASIP Journal as Wireless Communications and Networking 1-10.
222. Shen, Y. & Win, M. Z. (2007 March). Fundamental limits of wideband localization accuracy via Fisher information. In Proceedings of the IEEE Wireless Communications and Networking Conference, Hong Kong.
223. Shen, Y., Wymeersch, H. & Win, M. Z. (2007 March). Fundamental limits of wideband cooperative localization via Fisher information. In Proceedings of the IEEE Wireless Communications and Networking Conference, Hong Kong, Best Paper Award.
224. Shen, Y., Lien, J., Wymeersch, H. & Win, M. Z. (2007 May). Location, location, location: Performance bounds and algorithms for cooperative localization in UWB networks. IEEE Communication Theory Workshop (CTW 2007), Sedona, AZ.
225. Shnayder, V., Hempstead, M., Chen, B., Allen, G. W. & Welsh, M. (2004). Simulating the power consumption of large scale sensor network applications. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), Baltimore, MD.
226. Sichitiu, M. L. & Veerarittiphan, C. (2003). Simple, accurate time synchronization for wireless sensor networks. In Proceedings of the IEEE Wireless Communications and Networking, 2003, WCNC 2003, Vol. 2, pp. 1266–1273.
227. Sihavaran, T., Blair, G., Friday, A., Wu, M., Limon, H. D., Okanda, P. & Sorensen, C. F. Cooperating sentient vehicles for next generation automobiles. In Proceeding of MobiSys2004, 1st ACM Workshop on Applications of Mobile Embedded Systems, June 2004.
228. M.K. Simon and M.S. Alouini (2004) Digital Communication over Fading Channels: A Unified Approach to Performance Analysis. 2nd edn New York: John Wiley
229. Simon Wong, K. F., Tsang, I. W., Cheung, V., Gary Chan, S.H., Kwok, J. T. Position estimation for wireless sensor networks, In Proceeding of IEEE Globecom 2005, St. Louis, November 28, December 2, 2005.
230. S. Singh and C.S. Raghavendra (1998) Pamas: Power aware multi-access protocol with signalling for ad hoc networks. ACM Computer Communication Review 28(3)
231. F. Sivrikaya and B. Yener (2004) Time synchronization in sensor networks: A survey. IEEE Network 18(4), 45-50.
232. D. Slepian and J. Wolf (1973) Noiseless coding of correlated information sources. IEEE Transactions on Information Theory 19 471-480.
233. K. Sohrabi, J. Gao, V. Ailawadhi and G.J. Pottie (2000) Protocols for self-organization of a wireless sensor network. IEEE Personal Communications 7 16-27.
234. Soltanian, A. & Van Dyck, R. E. (2001). Performance of the Bluetooth system in fading dispersive channels and interference. In Proceedings of the IEEE Global Communications Conference (GCC ’ 01), Vol. 6, pp. 3499–3503.
235. Souza, R. D., Moore, C., Galvin, D. & Randall, D. (2006). Global connectivity from local geometric constraints for sensor networks with various wireless footprints. In Proceedings of the 5th International Conference on Information Processing in Sensor Networks, 2006 IPSN, pp. 19–26.
236. J. Spilker (1978) GPS signal structure and performance characteristics. Journal of the Institute of Navigation 25(2), 121-146.
237. T.K. Srikanth and S. Toueg (1987) Optimal clock synchronization. Journal of the ACM 34(3), 626-645.
238. Stankovic, J.A., Cao, Q., Doan, T., Fang, L., He, Z., Kiran, R., Lin, S., Son, S., Stoleru, R. & Wood, A. (2005). Wireless sensor networks for in-home healthcare: potential and challenges, Proceeding of High Confidence Medical Device Software and Systems (HCMDSS) Workshop, Philadelphia, PA, June 2–3, 2005.
239. W. Su and I.F. Akyildiz (2005) Time-diffusion synchronization protocol for wireless sensor networks. IEEE/ACM Transactions on Networking 13(2), 384-397.
240. B. Sundararaman, U. Buy and A.D. Kshemkalyani (2005) Clock synchronization for wireless sensor networks: A survey. Ad Hoc Networks 3(3), 281-323.
241. Y. Sung, L. Tong and A. Swami (2005) Asymptotic locally optimal detector for large-scale sensor networks under the Poisson regime. IEEE Transactions on Signal Processing 53(6), 2005-2017.
242. Suwansantisuk, W. & Win, M. Z. (2005 March). Fundamental limits on spread spectrum signal acquisition. In Proceedings of the Conference on Information Science and System, Baltimore, MD.
243. Suwansantisuk, W. & Win, M. Z. (2005 March). Optimal search procedures for spread spectrum acquisition. In Proceedings of the Conference on Information Science and Systems, Baltimore, MD.
244. Suwansantisuk, W. & Win, M. Z. (2005 September) Optimal search strategies for ultrawide bandwidth signal acquisition. In Proceedings of the IEEE International Conference on Utra-Wideband, Zürich, Switzerland, 349–354.
245. Suwansantisuk, W., Win, M. Z. & Shepp, L. A. (2005 May). Properties of the mean acquisition time for wide-bandwidth signals in dense multipath channels. In Proceedings of the 3rd SPIE International Symposium on Fluctuation and Noise in Communication Systems, Austin, TX, Vol. 5847 pp. 121–135.
246. Suwansantisuk, W., & Win, M. Z. (2006 February). On the asymptotic performance of multi-dwell signal acquisition in dense multipath channels. In Proceedings of the IEEE International Zurich Seminar on Communications, Zürich, Switzerland, Invited Paper.
247. Suwansantisuk, W. & Win, M. Z. (2006 February). Fundamental limits of multipath aided serial search acquisition. In Proceedings Information of the Theory and Applications – Inaugural Workshop. La Jolla, CA, Invited Paper.
248. W. Suwansantisuk and M.Z. Win (2007) Multipath aided rapid acquisition: Optimal search strategies. IEEE Transactions Information Theory 52(1), 174-193.
249. W. Suwansantisuk, M.Z. Win and L. Shepp (2005 September) On the performance of wide-bandwidth signal acquisition in dense multipath channels. IEEE Transactions on Vehicular Technology 54(5), 1584-1594.
250. Svensoon, A. (2005) Executive Summary – The Safe Traffic Project, February.
251. P. Swaszek and P. Willett (1995) Parley as an approach to distributed detection. IEEE Transactions on Aerospace and Electronic Systeme 31(1), 447-457.
252. R. Szewczyk, E. Osterweil, J. Polastre, M. Hamilton, A. Mainwaring and D. Estrin (2004) Habitat monitoring with sensor networks. Communications of the ACM 47(6), 34-40.
253. W.K. Tam and V.N. Tran (1995) Propagation modeling for indoor wireless communication. Electronics and Communication Engineering Journal 7(5), 221-228.
254. Time-domain, http://www.timedomain.com
255. Y.-C. Tseng, S.-Y. Ni, Y.-S. Chen and J.-P. Sheu (2002) The broadcast storm problem in a mobile ad hoc network. Wireless Networks 8(2/3), 153-167.
256. J.N. Tsitsiklis (1993) Decentralized detection. Advances in Statistical Signal Processing 2 297-344.
257. Van Dick, R.E., Miller, L. E., & Gaithersburg, M. (2001). Distributed sensor processing over an ad hoc wireless network: Simulation framework and performance criteria. In Proceedings of the IEEE Military Communications Conference (MILCOM ‘01), Washington, DC, USA, Vol. 2, 28–31 October 2001, pp. 894–898.
258. V. Trees Van and L. Harry (1968) Detection, Estimation, and Modulation Theory. 1st edn New York: John Wiley
259. Verdone, R. (2005). A statistical analysis of wireless connectivity in three dimensions. In Proceedings of the IEEE International Conference on Communications, Seoul, Korea, Vol. 5, pp. 3207–3210.
260. Verdone, R. (2004). An energy-efficient decentralized communication protocol for a network of uniformly distributed sensors polled by a wireless transceiver. In Proceedings of the IEEE International Conference on Commununications, Paris, France, Vol. 6, pp. 3491–3498.
261. P.K. Varshney (1997) Distributed Detection and Data Fusion. New York: Springer
262. Wang, Y. & Harder, A. (2006). A toolkit-based approach to indoor localization. In Proceedings of the International Conference on Parallel Processing (ICPP ’ 06), pp. 229–238.
263. Weissberger, M.A. (1981). An initial critical summary of models for predicting the attenuation of radio waves by foliage. In ECACTR-81-101. Annepolis, MD: Electromagnetic Compatibility Analysis Center.
264. Werner-Allen, G., Johnson, J. B. Ruiz, M. Lees, J. & Welsh, M. (2005). Monitoring volcanic eruptions with a wireless sensor networks. In Proceedings of the Second European Workshop on Wireless Sensor Networks, EWSN 2005, Istanbul, Turkey, 31 January – 2 February 2005, pp. 108–120.
265. Williams, B. & Camp, T. (2002). Comparison of broadcasting techniques for mobile ad hoc networks. In Proceedings of the ACM Symposium on Mobile Ad Hoc Networking and Computing, Lausanne, Switzerland, pp. 194–205.
266. WiMedia Alliance (2005), Wimedia. http://www.wimedia.org
267. Win, M. Z. (2003). On the monotonicity of matched-filter bounds for diversity combining receivers. In Proceedings of the IEEE Global Telecommunications Conference, San Francisco, CA, Vol. 3, pp. 1684–1688.
268. M.Z. Win (2002) Spectral density of random time-hopping spread-spectrum UWB signals. IEEE Communication Letters 6(12), 526-528.
269. M.Z. Win (2002) A unified spectral analysis of generalized time-hopping spread-spectrum signals in the presence of timing jitter. IEEE Journal on Selected Areas in Communications 20(9), 1664-1676.
270. M.Z. Win and Z.A. Kostic (1999) Virtual path analysis of selective Rake receiver in dense multipath channels. IEEE Communication Letters 3(11), 308-310.
271. M.Z. Win and Z.A. Kostic (1999) Impact of spreading bandwidth on Rake reception in dense multipath channels. IEEE Journal on Selected Areas in Communications 17(10), 1794-1806.
272. M.Z. Win and R.A. Scholtz (2000) Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications. IEEE Transactions on Communications 48(4), 679-691.
273. Win, M. Z., Scholtz, R. A. & Fullerton, L. W. (1996). Time-hopping SSMA techniques for impulse radio with an analog modulated data subcarrier. In Proceedings of the IEEE Fourth International Symposium on Spread Spectrum Techniques and Applications, Mainz, Germany, pp. 359–364.
274. M.Z. Win, X. Qiu, R.A. Scholtz, O. Victor and K. Li (1999 May) ATM-based THSSMA network for multimedia PCS. IEEE Journal on Selected Areas in Communications 17(5), 824-836.
275. M.Z. Win, G. Chrisikos and N.R. Sollenberger (2000) Effects of chip rate on selective Rake combining. IEEE Communication Letters 4(7), 233-235.
276. M.Z. Win, G. Chrisikos and N.R. Sollenberger (2000) Performance of Rake reception in dense multipath channels: Implications of spreading bandwidth and selection diversity order. IEEE Journal on Selected Areas in Communications 18(8), 1516-1525.
277. M.Z. Win and R.A. Scholtz (1998) On the robustness of ultra-wide bandwidth signals in dense multipath environments. IEEE Communication Letters 2(2), 51-53.
278. M.Z. Win and R.A. Scholtz (1998) On the energy capture of ultra-wide bandwidth signals in dense multipath environments. IEEE Communication Letters 2(9), 245-247.
279. M.Z. Win and Y. Wen (2005) Extreme power dispersion profiles for Nakagami- m fading channels with maximal-ratio diversity. IEEE Communication Letters 9(5), 385-387.
280. M.Z. Win, R.K. Mallik and G. Chrisikos (2003) Higher order statistics of antenna subset diversity. IEEE Transactions on Wireless Communications 2 871-875.
281. M.Z. Win and R.A. Scholtz (1998) Impulse radio: How it works. IEEE Communication Letters 2(2), 36-38.
282. M.Z. Win and R.A. Scholtz (2002) Characterization of ultra-wide bandwidth wireless indoor communications channel: A communication theoretic view. IEEE Journal Selected Areas in Communication 20(9), 1613-1627.
283. M.Z. Win and Y. Wen (2005) Extreme power dispersion profiles for Nakagami- m fading channels with maximal-ratio diversity. IEEE Communication Letters 9(5), 385-387.
284. M.Z. Win and J.H. Winters (2001) Virtual branch analysis of symbol error provavility for hybrid selection/maximal-ratio combining in rayleigh fading. IEEE Transactions on Communications 49 1926-1934.
285. Win, M. Z., Pinto, P. C., Giorgetti, A., Chiani, M. & Shepp, L. A. (2006 August). Error performance of ultrawideband systems in a Poisson field of narrowband interferers. In Proceedings of the IEEE International Symposium on Spread Spectrum Techniques and Applications, Manaus, Brazil, pp. 410–416, Invited Paper.
286. J.H. Winters (1987) On the capacity of radio communication systems with diversity in Rayleigh fading environment. IEEE Journal Selected Areas in Communications 5(5), 871-878. SAC
287. Woo, A. & Culler, D. (2001). A transmission control scheme for media access in sensor network. In ACM Proceedings of the International Conference on Mobile Computing and Networking (MobiCom ’ 01), Rome, Italy, pp. 272–286.
288. J.-J. Xiao, A. Ribeiro, Z.-Q. Luo and G.B. Giannakis (2006) Distributed compression-estimation using wireless sensor networks. IEEE Signal Processing Magazine 23(4), 27-41.
289. Xu, Y., Heidemann, J. & Estrin, D. (2001). Geography-informed energy conservation for ad-hoc routing. In Proceedings of the Seventh Annual ACM/IEEE International Conference on Mobile Computing and Networking, Rome, Italy, pp. 70–84.
290. Q. Xue and A. Ganz (2004) Maximizing sensor network lifetime: Analysis and design guidelines. Proceedings of MILCOM
291. L. Yang and M.S. Alouini (2006) Performance comparison of different selection combining algorithms in presence of co-channel interference. IEEE Transactions on Vehicular Technology 55 559-571.
292. L. Yang and G.B. Giannakis (2004) Ultra-wideband communications: An idea whose time has come. IEEE Signal Processing Magazine 21(6), 26-54.
293. Ye, W., Heidemann, J. & Estrin, D. (2002). An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the IEEE INFOCOM, Vol. 3, pp. 1567–1576.
294. Yen, Y.-S., Hong, S., Chang, R.-S. & Chao, H.-C. (2007). An energy efficient and coverage guaranteed wireless sensor network. In Proceedings of IEEE WCNC 2007, Hong Kong, 11–15 March 2007, pp. 2923–2928.
295. Yu, Y., Estrin, D. & Govindan, R. (2001). Geographical and energy-aware routing: A recursive data dissemination protocol for wireless sensor networks. In UCLA Computer Science Department Technical Report.
296. Zhang, F. & Deng, G. Y. (2005). Probabilistic time synchronization in wireless sensor networks. In Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, Vol. 2, pp. 980–984.
297. F. Zhao, J. Liu, L. Guibas and J. Reich (2003) Collaborative signal and information processing: An information-directed approach. Proceedings of IEEE 91(8), 1199-1209.
298. Q. Zhao, A. Swami and L. Tong (2006) The interplay between signal processing and networking in sensor networks. IEEE Signal Processing Magazine 23(4), 84-93.
299. Zhong, L.C., Shah, R., Guo, C., & Rabaey, J. (2001). An ultra-low power and distributed access protocol for broadband wireless sensor networks. In Proceedings of the IEEE Broadband Wireless Summit, Las Vegas, NY, May 2001.
300. ZigBec Website: http//www/zigbec.org/en/index.asp
301. M. Zorzi and R.R. Rao (2003) Geographic random forwarding (geraf) for ad hoc and sensor networks: Energy and latency performance. IEEE Transactions on Mobile Computing 2(4), 349-365.
302. Zorzi, M. & Rao, R. R. (2003b). Geographic random forwarding (geraf) for ad hoc and sensor networks: multihop performance. IEEE Trans. Mobile Computing, 2(4), pp. 337–348.
303. E. Cayirci (2003 August) Data aggregation and dilution by modulus addressing in wireless sensor networks. IEEE Communication Letters 7(8), 355-357.
304. J.-H. Chang and L. Tassiulas (2004) Maximum lifetime routing in wireless sensor networks. IEEE/ACM Transactions on Networking 12(4), 609-619.
305. C.F. Chiasserini and R.R. Rao (2001 July) Improving battery performance by using traffic shaping techniques. IEEE Journal on Selected Areas in Communications 19(7), 1385-1394.
306. S. Cui, A.J. Goldsmith and A. Bahai (2004 August) Energy-Efficient of MIMO and Cooperative MIMO Techniques in Sensor Networks. IEEE Journal on Selected Areas in Communications 22(6), 1089-1098.
307. R. Guerin and A. Orda (2002 October) Computing shortest paths for any number of hops. IEEE/ACM Transactions on Networking 10(5), 613-620.
308. Hara, S., Zhao D. Z., Yanagihara, K. Taketsugu, J. Fukui, K. Fukunaga, S. Kitayama, K. (2005). Propagation characteristics of IEEE 802.15.4 radio signal and their application for location estimation. Proceedings of IEEE Vehicular Technology Conference, 2005, VTC Spring 2005, Vol. 1, pp. 97–101.
309. S. Lindsey, C. Raghavendra and K.M. Sivalingam (2002 September) Data gathering algorithms in sensor networks using energy metrics. IEEE Transactions on Parallel and Distributed Systems 13(9), 924-935.
310. Mukhrjee, S. & Avidor, D. On the probability distribution of the minimal number of hops between any pair of nodes in a bounded wireless ad-hoc network subject to fading. In Proceedings of International Workshop on Wireless Ad-Hoc Networks, IWWAN 2005, London, UK, 23–26 May, 2005.
311. P. Santi and D.M. Blough (2003) The critical transmitting range for connectivity in sparse wireless ad hoc networks. IEEE Transactions on Mobile Computing 2(1), 25-39.
312. C. Schurgers, V. Tsiatsis, S. Ganeriwal and M. Srivastava (2002) Optimizing sensor networks in the energy-latency-density design space. IEEE Transactions on Mobile Computing 1(1), 70-80.
313. C. Schurgers, G. Kulkarni and M.B. Srivastava (October 2002) Distributed on-demand address assignment in wireless sensor networks. IEEE Transaction on Parallel and Distributed Systems 13(10), 1056-1065.
314. Verdone, R. (2008). Wireless sensor networks. 5th European Conference, EWSN 2008, Bologna, Italy, January/February 2008, LNCS 4913, Springer-Verlag, Berlin, January 2008.
315. F. Xue and P.R. Kumar (2004) The Number of Neighbors Needed for Connectivity of Wireless Networks. Wireless Networks 10(2), 169-181.