Fundamentals of energy-constrained sensor network systems

IEEE Aerospace and Electronic Systems Magazine

Volumn 20, Issue 8 II, 2005, Pages 17-34

  Sadler, Brian M ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CONNECTIVITY; ENERGY-CONSTRAINED SENSORS; NETWORK SYSTEMS; SCALABILITY;

CONSTRAINT THEORY; ROBOTICS; SIGNAL PROCESSING; SOILS; SYNCHRONIZATION; TELECOMMUNICATION NETWORKS;

SENSORS;

EID: 23844441897     PISSN: 08858985     EISSN: None     Source Type: Journal    
DOI: 10.1109/MAES.2005.1499273     Document Type: Review

References (121)

1. Pottie, G. J., and Kaiser, W. J. Wireless integrated network sensors. Communications of the ACM, 43, 5 (May 2000).
2. Warneke, B., Last, M., Liebowitz, B., and Pister, K. S. J. Smart dust: Communicating with a cubic-millimeter computer. Computer, 34, 1 (Jan. 2001).
3. IEEE Signal Processing Magazine Special Issue on Collaborative Signal and Information Processing in Microsensor Networks, (Mar. 2002).
4. Estrin, D., Culler, D., Pister, K., and Sukhatme, G. Connecting the physical world with pervasive networks. IEEE Pervasive Computing, 1, 1 (Jan.-Mar. 2002).
5. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., and Cayirci, E. A survey on sensor networks. IEEE Communications Magazine, (Aug. 2002).
6. Proceedings of the IEEE. Special Issue on Sensor Networks and Applications, 91, 8 (Aug. 2003).
7. Chong, C-Y., and Kumar, S. P. Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 91, 8 (Aug. 2003).
8. Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03). New York: Springer, 2003.
9. IEEE Journal on Selected Areas in Communications. Issue on Fundamental Performance Limits of Wireless Sensor Networks, 22, 6 (Aug. 2004).
10. Iyengar, S. S., and Brooks, R. R. (Eds.) Distributed Sensor Networks. Boca Raton, FL: CRC Press, 2004.
11. Sadler, B. M. Critical issues in energy-constrained sensor networks: synchronization, scheduling, and acquisition. In Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'05), Philadelphia, PA, Mar. 2005, V-785-788.
12. Kleinrock, L., and Silvester, J. Optimum transmission radii for packet radio networks, or Why six is a magic number. In Proceedings of the National Telecommunication Conference, 1978, 4.3.1-4.3.5.
13. Philips, T. K., Panwar, S. S., and Tantawi, A. N. Connectivity properties of a packet radio network model. IEEE Transactions on Information Theory, 35, 5 (Sept. 1989).
14. Gupta, P., and Kumar, P. R. Critical power for asymptotic connectivity in wireless networks. In W. M. McEneaney, G. Yin, and Q. Zhang (Eds.) Stochastic Analysis, Control, Optimization and Applications: A Volume in Honor of W. H. Fleming, Boston: Birkhauser, 1998.
15. Dousse, O., Thiran, P., and Hasler, M. Connectivity in ad-hoc and hybrid networks. In Proceedings of IEEE Infocom 2002, New York, June 2002.
16. Dousse, O., Baccelli, F., and Thiran, P. Impact of interferences on connectivity in ad hoc networks. In Proceedings of IEEE Infocom 2003, San Francisco, Apr. 2003.
17. Dousse, O., and Thiran, P. Connectivity vs capacity in dense ad hoc networks. In Proceedings of IEEE Infocom 2004, Hong Kong, Mar. 2004.
18. Xue, F., and Kumar, P. R. The number of neighbors needed for connectivity of wireless networks. Wireless Networks, 10, 2 (Mar. 2004), 169-181.
19. Ephremides, A., and Hajek, B. Information theory and communication networks: An unconsummated union. IEEE Transactions on Information Theory, 44, 6 (Oct. 1998).
20. Gupta, P., and Kumar, P. R. The capacity of wireless networks. IEEE Transactions on Information Theory, 46, 2 (Mar. 2000).
21. Grossglauser, M., and Tse, D. Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Transactions on Networking, 10, 4 (Aug. 2002).
22. Xue, F., Xic, L-L., and Kumar, P. R. Wireless networks over fading channels. IEEE Transactions on Information Theory, submitted 2003.
23. Agarwal, A., and Kumar, P. R. Improved capacity bounds for wireless networks. Wireless Communications and Mobile Computing, 4, 3 (May 2004).
24. Xie, L-L., and Kumar, P. R. A network information theory for wireless communication: Scaling laws and optimal operation. IEEE Transactions on Information Theory, 50, 5 (May 2004).
25. Lin, X., and Shroff, N. B. The fundamental capacity-delay tradeoff in large mobile wireless networks. Submitted to IEEE Transactions on Information Theory, 2004.
26. Mergen, G., Zhao, Q., and Tong, L. Sensor networks with mobile access: Energy and capacity considerations. IEEE Transactions on Communications, submitted 2004.
27. Slepian, D., and Wolf, J. Noiseless coding of correlated information sources. IEEE Transactions on Information Theory, 19, 4 (July 1973).
28. Berger, T., Zhang, A., and Viswanathan, H. The CEO problem [multiterminal source coding]. IEEE Transactions on Information Theory, 42, 3 (May 1996).
29. Verdu, S. Fifty years of Shannon theory. IEEE Transactions on Information Theory, 44, 6 (Oct. 1998).
30. Garcia-Frias, J. Compression of correlated binary sources using turbo codes. IEEE Communication Letters, 5, 10 (Oct. 2001).
31. Liveris, A. D., Xiong, Z., and Georghiades, C. N. A distributed source coding technique for correlated images using turbo-codes. IEEE Communication Letters, 6, 9 (Sept. 2002).
32. Liveris, A. D., Xiong, Z., and Georghiades, C. N. Compression of binary sources with side information at the decoder using LDPC codes. IEEE Communication Letters, 6, 10 (Oct. 2002).
33. Pradhan, S. S., Kusuma, J., and Ramchandran, K. Distributed compression in a dense microsensor network. IEEE Signal Processing Magazine, 19, 2 (Mar. 2002).
34. Marco, D., Duarte-Melo, E. J., Liu, M., and Neuhoff, D. L. On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data. In Proceedings of Information Processing in Sensor Networks (IPSN'03), Apr. 2003.
35. Duarte-Melo, E. J., and Liu, M. Data-gathering wireless sensor networks: Organization and capacity. Computer Networks (COMNET), Special Issue on Wireless Sensor Networks, 43, 4 (Nov. 2003).
36. Pradhan, S. S., and Ramchandran, K. Distributed source coding using syndromes (DISCUS): Design and construction. IEEE Transactions on Information Theory, 49, 3 (Mar. 2003).
37. Ajdler, T., Cristescu, R., Dragotti, P. L., Gastpar, M., Maravic, I., and Vetterli, M. Distributed signal processing and communications: On the interaction of sources and channels. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr. 2003.
38. Beferull-Lozano, B., Konsbruck, R. L., and Vetterli, M. Rate-distortion problem for physics based distributed sensing. In Proceedings of Information Processing in Sensor Networks (IPSN), Berkeley, CA, Apr. 2004.
39. Chen, J., Zhang, X., Berger, T., and Wicker, S. B. An upper bound on the sum-rate distortion function and its corresponding rate allocation schemes for the CEO problem. IEEE Journal on Selected Areas in Communications, Special Issue on Fundamental Performance Limits of Sensor Networks, 22, 6 (Aug. 2004), 977-987.
40. Draper, S. C., and Wornell, G. W. Side information aware coding strategies for sensor networks. IEEE Journal on Selected Areas in Communication, Special Issue on Fundamental Performance Limits of Sensor Networks, 22, 6 (Aug. 2004), 966-976.
41. Back, S. J,. de Veciana, G., and Su, X. Minimizing energy consumption in large-scale sensor networks through distributed data compression and hierarchical aggregation. IEEE Journal on Selected Areas in Communication, Special Issue on Fundamental Performance Limits of Sensor Networks, to be published, 22, 6 (Aug. 2004), 1130-1140.
42. Bhardwaj, M., Garnett, T., and Chandrakasan, A. P. Upper bounds on the lifetime of sensor networks. IEEE Conference on Communications (ICC'01), June 2001.
43. Bhardwaj, M., and Chandrakasan, A. P. Bounding the lifetime of sensor networks via optimal role assignments. In Proceedings of IEEE Infocom 2002, June 2002.
44. Gao, J. L. Analysis of energy consumption for ad hoc wireless sensor networks using a bit-meter-per-Joule metric. IPN Progress Report 42-150, Jet Propulsion Laboratory, Aug. 2002, (http://ipnpr.jpl.nasa.gov/progress-report/42- 150/150L.pdf).
45. Kalpakis, K., Dasgupta, K., and Namjoshi, P. Maximum lifetime data gathering and aggregation in wireless sensor networks. In Proceedings of 2002 IEEE International Conference on Networking (ICN'02), Atlanta, GA, Aug. 26-29, 2002.
46. Duarte-Melo, E. J., and Liu, M. Analysis of energy consumption and lifetime of heterogeneous wireless sensor networks. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), Nov. 2002.
47. Hu, Z., and Li, B. On the fundamental capacity and lifetime limits of energy-constrained wireless sensor networks. In Proceedings of 10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2004), Toronto, Canada, May 25-28, 2004.
48. Lindsey, W. C., and Kantak, A. V. Network synchronization of random signals. IEEE Transactions on Communications, 28, 8 (1980), 1260-1266.
49. Bregni, S. A historical perspective on telecommunications network synchronization. IEEE Communications Magazine, (June 1998).
50. Kitching, J., and Knappe, S., et al. A microwave frequency reference based on VCSEL-driven dark line resonances in Cs vapor. IEEE Transactions on Instrumentation and Measurement, 49, 6 (Dec. 2000), 1313-1317.
51. Elson, J., and Estrin, D. Time synchronization for wireless sensor networks. In Proceedings of the 15th International Parallel and Distributed Processing Symposium, Apr. 23-27, 2001.
52. Elson, J., Girod, L., and Estrin, D. Fine-grained network time synchronization using reference broadcasts. In Proceedings of the Fifth Symposium on Operating Systems Design and Implementation (OSDI 2002), Boston, MA, Dec. 2002.
53. Elson, J., and Römer, K. Wireless sensor networks: A new regime for time synchronization. In Proceedings of the First Workshop on Hot Topics In Networks (HotNets-I), Princeton, NJ, Oct. 2002.
54. Lutwak, R., Emmons, D., Riley, W., and Garvey, R. M. The chip-scale atomic clock-coherent population trapping vs. conventional interrogation. In Proceedings of the 34th Annual Precise Time Interval Meeting (PTTI), Dec. 2002.
55. DARPA Chip-Scale Atomic Clock Program http://www.darpa.mil/mto/csac/.
56. Sichitiu, M. L., and Veerarittiphan, C. Simple, accurate time synchronization for wireless sensor networks. In Proceedings of the IEEE Wireless Communications and Networking (WCNC), Mar. 16-20, 2003.
57. Karp, R., Elson, J., Estrin, D., and Shenker, S. Optimal and global time synchronization in sensornets. CENS Technical Report 0012, Apr. 10, 2003.
58. Ganeriwal, S., Kumar, R., and Srivastava, M. B. Timing-sync protocol for sensor networks. In Proceedings of the First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003).
59. van Greunen, J., and Rabaey, J. Lightweight time synchronization for sensor networks. In Proceedings WSNA 2003, San Diego, CA, Sept. 2003.
60. Hu, A., and Servetto, S. D. Asymptotically optimal time synchronization in dense sensor networks. In Proceedings of the 2nd ACM International Workshop on Wireless Sensor Networks and Applications, San Diego, CA, Sept. 2003.
61. Hu, A., and Servetto, S. D. Algorithmic aspects of the time synchronization problem in large-scale sensor networks. Submitted to the ACM/Kluwer Journal on Mobile Networks and Applications (MONET), Special Issue on Wireless Sensor Networks, with selected revised papers from ACM WSNA 2003, Mar. 2004.
62. Galison, P. L. Einstein's Clocks, Poincare's Maps: Empires of Time. New York: Norton, 2003.
63. Knappe, S., and Shah, V., et al. A microfabricated atomic clock. Applied Physics Letters, 85, 9 (Aug. 30, 2004), 1460-1462.
64. Savarese, C., Rabaey, J. M., and Beutel, J. Location in distributed ad-hoc wireless sensor networks. Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2001.
65. Girod, L., and Estrin, D. Robust range estimation using acoustic and multimodal sensing. In Proceedings of the 2001 IEEE/RSJ International Conference on Intelligence, Robots and Systems, 2001.
66. Fontana, R. J., and Gunderson, S. J. Ultra-wideband precision asset location system. In Proceedings of the IEEE Conference on UWB Systems and Technology, May 2002.
67. Moses, R. L., and Patterson, R. Self-calibration of sensor networks. Proceedings of SPIE, 4743 (2002).
68. Chen, J. C., Hudson, R. E., and Yao, K. Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near field. IEEE Transactions on Signal Processing, 51 (Aug. 2002).
69. Moses, R. L., Krishnamurthy, K., and Patterson, R. M. A self-localization method for wireless sensor networks. EURASIP Journal on Applied Signal Processing, 4 (Mar. 2003).
70. Savvides, A., Garber, W., Adlakha, S., Moses, R., and Srivistava, M. B. On the error characteristics of multihop node localization in ad-hoc sensor networks. Presented at the 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03), Palo Alto, CA, Apr. 22-23, 2003.
71. Garber, W., and Moses, R. Self-localization of three-dimensional sensor networks. Presented at the 2003 IEEE Workshop on Statistical Signal Processing (SSP), Sept. 28-Oct. 1, 2003.
72. Larsson, E. G. Cramer-Rao bound analysis of distributed positioning in sensor networks. IEEE Signal Processing Letters, 11, 3 (Mar. 2004), 334-337.
73. Sadler, B. M., Kozick, R. J., and Tong, L. Multi-modal sensor localization using a mobile access point. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.
74. Collier, S. L., and Wilson, D. K. Performance bounds for passive arrays operating in a turbulent medium: Plane-wave analysis. Journal of the Acoustic Society of America, 113 (May 2003).
75. Kozick, R. J., Sadler, B. M., and Wilson, D. K. Signal processing and propagation for aeroacoustic sensor networking. In S. S. Iyengar and R. R. Brooks (Eds.), Frontiers in Distributed Sensor Networks, Boca Raton, FL: CRC Press, 2004.
76. Kozick, R. J., and Sadler, B. M. Source localization with distributed sensor arrays and partial spatial coherence. IEEE Transactions on Signal Processing, 53, 3 (Mar. 2004), 601-616.
77. Sadler, B. M., Kozick, R. J., and Collier, S. L. Algorithms and performance of small baseline acoustic sensor arrays. In Proceedings of SPIE 2004 Defense & Security Symposium, Orlando, FL, Apr. 12-16, 2004.
78. Rabaey, J. M., Ammer, M. J., da Silva, J. L., Patel, D., and Roundy, S. PicoRadio supports ad hoc ultra-low power wireless networking. IEEE Computer, 33, 7 (July 2000).
79. Tellado, J. Multicarrier Modulation With Low PAR-Applications to DSL and Wireless. Boston: Kluwer, 2000.
80. Sinha, A., and Chandrakasan, A. Dynamic power management in wireless sensor networks. IEEE Design & Test of Computers, (Mar-Apr. 2001).
81. Shih, E., Cho, S-H., Ickes, N., Min, R., Sinha, A., Wang, A., and Chandrakasan, A. 'Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Proceedings of 7th ACM Conference on Mobile Computing and Networking, Rome, Italy, July 2001.
82. Rabaey, J. M., et al. PicoRadios for wireless sensor networks: The next challenge in ultra-low power design. In Proceedings of IEEE Solid-State Circuits Conference (ISSCC), Feb. 2002.
83. 3 solar-powered node for distributed wireless sensor networks. In Proceedings of IEEE International Conference on Sensors, June 2002.
84. Wang, A., and Chandrakasan, A. Energy-efficient DSPs for wireless sensor networks. IEEE Signal Processing Magazine, 19, 4 (July 2002).
85. Min, R., et al. Energy-centric enabling technologies for wireless sensor networks. IEEE Wireless Communications, (Aug. 2002).
86. Cripps, S. C. Advanced Techniques in RF Power Amplifier Design. Dedham, MA: Artech House, 2002.
87. Bayrashev, A., Parker, A., Robbins, W. P., and Ziaie, B. Low frequency wireless powering of microsystems using piezoelectric-magnetostrictive laminate composites. In Proceedings of the 12th International Conference on Solid-State Sensors, Actuators and MicroSystems, June 2003.
88. Li, H., and Lal, A. Radioactively powered pressure transducer with RF pulse output. In Proceedings of the 12th International Conference on Solid-State Sensors, Actuators and MicroSystems, June 2003.
89. Guo, H., and Lal, A. Nanopower betavoltaic microbatteries. In Proceedings of the 12th International Conference on Solid-State Sensors, Actuators and MicroSystems, June 2003.
90. Roundy, S., Wright, P., and Rabaey, J. M. Energy Scavenging for Wireless Sensor Networks, with Special Focus on Vibrations. Boston: Kluwer, 2003.
91. Guitiérrez, J. A., Callaway, E. H., and Barret, R. L. Low-rate personal area networks, Enabling wireless sensors with IEEE 802.15.4. New York: IEEE Press, 2004.
92. Sohrabi, K,. Gao, J., Ailawadhi, V., and Pottie, G. J. Protocols for self-organization of a wireless sensor network. IEEE Personal Communications Magazine, 7, 5 (Oct. 2000).
93. Gao, J., Sohrabi, K., Ailawadhi, V., and Pottie, G. An energy conscious self-organizing wireless sensor network. IEEE Personal Communications Magazine, 7 (Oct. 2000), 16-27.
94. Pei, G., and Chien, C. Low power TDMA in large wireless sensor networks. In Proceedings of IEEE Military Communications Conference, Oct. 2001.
95. El-Hoiydi, A. Aloha with preamble sampling for sporadic traffic in ad hoc wireless sensor networks. Presented at the IEEE International Conference on Communications, May 2002.
96. Ye, W., Heidemann, J., and Estrin, D. An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of IEEE Infocom 2002, June 2002.
97. Zorzi, M., and Rao, R. R. Geographic random forwarding (geraf) for ad hoc and sensor networks: Multihop performance. IEEE Transactions on Mobile Computing, 2, 4 (Oct.-Dec. 2003), 337-348.
98. Zorzi, M., and Rao, R. R. Geographic random forwarding (geraf) for ad hoc and sensor networks: Energy and latency performance. IEEE Transactions on Mobile Computing, 2, 4 (Oct.-Dec. 2003), 349-365.
99. Mishra, S., and Nasipuri, A. An adaptive low power reservation based mac protocol for wireless sensor networks. Presented at the Workshop on Multihop Wireless Networks (MWN), in conjunction with IEEE International Performance, Computing, and Communications Conference (IPCCC'04), Phoenix, AZ, Apr. 15-17, 2004.
100. Michail, A., and Ephremides, A. Algorithms for routing session traffic in wireless ad-hoc networks with energy and bandwidth limitations. Presented at the 2001 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Oct. 2001.
101. Schurgers, C., and Srivastava, M. B. Energy efficient routing in wireless sensor networks. Presented at the IEEE Military Communications Conference (MILCOM'01), Oct. 2001.
102. Lindsey, S., Raghavendra, C., and Sivalingam, K. M. Data gathering algorithms in sensor networks using energy metrics. IEEE Transactions on Parallel and Distributed Systems, Special Issue on Mobile Computing, Apr. 2002.
103. Santivanez, C. A., McDonald, B., Stavrakakis, I., and Ramanathan, R. On the scalability of ad hoc routing protocols. In Proceedings of IEEE Infocom 2002, June 2002.
104. Chu, M., Haussecker, H., and Zhao, F. Scalable information-driven sensor querying and routing for ad hoc heterogeneous sensor networks. International Journal of High Performance Computing Applications, 16, 3 (fall 2002).
105. Santivanez, C. A., and Ramanathan, R. Scalability of routing in ad hoc networks: Principles and practice. In X. Cheng, X. Huang, D-Z. Du, (Eds.), Ad Hoc Wireless Networking, Boston: Kluwer 2003.
106. Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., and Silva, F. Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking, 11, 1 (Feb. 2003).
107. Bandyopadhyay, S., and Coyle, E. J. Minimizing communication costs in hierarchically clustered networks of wireless sensors. In Proceedings of IEEE Wireless Communications and Networking (WCNC), Mar. 2003.
108. Bandyopadhyay, S., and Coyle, E. J. An energy efficient hierarchical clustering algorithm for wireless sensor networks. In Proceedings of IEEE Infocom, Apr. 2003.
109. Petrovic, D., Shah, R. C., Ramchandran, K., and Rabaey, J. Data funneling: Routing with aggregation and compression for wireless sensor networks. In Proceedings of 1st IEEE International Workshop on Sensor Network Protocols and Applications, May 2003.
110. Hou, Y. T., Shi, Y., and Pan, J. A lifetime-aware single-session flow routing algorithm for energy-constrained wireless sensor networks. In Proceedings of IEEE Military Communications Conference (MILCOM'03), Oct. 2003, 603-608.
111. Lin, L., Shroff, N. B., and Srikant, R. Power aware routing for multi-hop networks with energy replenishment. In 38th Conference on Information Sciences and Systems (CISS), Princeton, NJ, Mar. 17-19, 2004.
112. Samar, P., Pearlman, M. R., and Haas, Z. J. Independent zone routing: An adaptive hybrid routing framework for ad hoc wireless networks. IEEE/ACM Transactions on Networking, 12, 4 (Aug. 2004), 595-608.
113. Tong, L., Zhao, Q., and Mergen, G. Multipacket reception in random access wireless networks: From signal processing to optimal medium access control. IEEE Communications Magazine, (Nov. 2001).
114. Adireddy, S., and Tong, L. Medium access control with channel state information for large sensor networks. Presented at the IEEE Workshop on Multimedia Signal Processing, Dec. 2002.
115. Adireddy, S., and Tong, L. Exploiting decentralized channel state information for random access. IEEE Transactions on Information Theory, 51, 2 (Feb. 2005), 537-561.
116. Liu, Y. J., Li, C., and Cruz, C. Performance optimization for a mobile small-unit-operation situational awareness (SUO-SAS) radio network. Presented at the IEEE Military Communications Conference (MILCOM'03), Oct. 2003.
117. Capyioni, D., and Russo, A. Small unit operations situation awareness system (SUO-SAS) radio architecture and system field testing results. Presented at the IEEE Military Communications Conference (MILCOM'03), Oct. 2003.
118. Kawadia, V., and Kumar, P. R. A cautionary perspective on cross layer design. IEEE Wireless Communication Magazine, [see also IEEE Personal Communications], 12, 1 (Feb. 2005), 3-11.
119. Dong, M., Tong, L., and Sadler, B. M. Information retrieval and processing in sensor networks: Deterministic scheduling vs. random access. IEEE Transactions on Information Theory, submitted 2004.
120. Tong, L., Naware, V., and Venkitasubramaniam, P. Signal processing in random access: A cross-layer perspective. IEEE Signal Processing Magazine, Special Issue on Signal Processing for Nnetworking: An Integrated Approach, to be published, July 2004.
121. Zhao, Q., and Tong, L. Energy efficiency of large-scale wireless networks: Proactive vs. reactive networking. IEEE Journal on Selected Areas in Communications, Issue on Advances in Military Wireless Communications, submitted 2004.