Optimized query routing trees for wireless sensor networks

Information Systems

Volumn 36, Issue 2, 2011, Pages 267-291

  Andreou, Panayiotis ^a   Zeinalipour Yazti, Demetrios ^a   Pamboris, Andreas ^b   Chrysanthis, Panos K ^c   Samaras, George ^a  

^a UNIVERSITY OF CYPRUS   (Cyprus)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of Pittsburgh   (United States)

Author keywords

Critical path method; Query routing trees; Sensor networks

Indexed keywords

CONSUMPTION OF ENERGY; CONTINUOUS QUERIES; CRITICAL PATH METHOD; DATA ACQUISITION SYSTEM; DATA RECEPTION; DATA TRANSMISSION; ENERGY CONSUMPTION; ENERGY REDUCTION; ENERGY-DRIVEN; NETWORK ALGORITHMS; ORDER OF MAGNITUDE; QUERY RESULTS; QUERY ROUTING; QUERY-BASED; QUERYING NODES; RADIO CHIPS; REAL DATA SETS; ROUTING TREES; SENSING DEVICES; SHOW THROUGH; SOURCE OF ENERGY; TREE CONSTRUCTION;

ALGORITHMS; DATA PROCESSING; ENERGY CONVERSION; ENERGY UTILIZATION; OPTIMIZATION; QUERY PROCESSING; SENSOR NETWORKS; SENSOR NODES; TOPOLOGY; TREES (MATHEMATICS); TURNAROUND TIME;

WIRELESS SENSOR NETWORKS;

EID: 78649481964     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2010.06.001     Document Type: Article

References (66)

1. K. Aberer, M. Hauswirth, A. Salehi, Infrastructure for data processing in large-scale interconnected sensor networks, in: Proceedings of the 2007 International Conference on Mobile Data Management, Mannheim, Germany, May 711, 2007, pp. 198205.
2. I.F. Akyildiz, M.C. Vuran, O.B. Akan, A cross-layer protocol for wireless sensor networks, in: Proceedings of the 40th Annual Conference on Information Sciences and Systems, Princeton, NJ, USA, March 2224, 2006, pp. 11021107.
3. G. Amati, A. Caruso, and S. Chessa Application-driven, energy-efficient communication in wireless sensor networks Computer Communications 32 5 2009 896 906
4. P. Andreou, D. Zeinalipour-Yazti, P.K. Chrysanthis, G. Samaras, Workload-aware optimization of query routing trees in wireless sensor networks, in: Proceedings of the Ninth International Conference on Mobile Data Management, Beijing, China, April 2730, 2008, pp. 189196.
5. A. Banerjee, A. Mitra, W. Najjar, D. Zeinalipour-Yazti, V. Kalogeraki, D. Gunopulos, RISE Co-S: high performance sensor storage and co-processing architecture, in: Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, Santa Clara, CA, USA, 2005.
6. A.T. Campbell, S.B. Eisenman, N.D. Lane, E. Miluzzo, R.A. Peterson, People-centric urban sensing, in: Proceedings of the Second Annual International Workshop on Wireless Internet, Boston, MA, Article No. 18, 2006.
7. A.T. Campbell, S.B. Eisenman, N.D. Lane, E. Miluzzo, R.A. Peterson, H. Lu, X. Zheng, M. Musolesi, K. Fodor, and G.S. Ahn The rise of people-centric sensing IEEE Internet Computing 12 4 2008 12 21
8. U. Cetintemel, A. Flinders, Y. Sun, Power-efficient data dissemination in wireless sensor networks, in: Proceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access, San Diego, CA, USA, 2003, pp. 18.
9. B. Chen, K. Jamieson, H. Balakrishnan, R. Morris, Span: an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks, in: Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (ACM SIGMOBILE), Rome, Italy, July 1621, 2001, pp. 8596.
10. J. Considine, F. Li, G. Kollios, J. Byers, Approximate aggregation techniques for sensor databases, in: Proceedings of the 20th International Conference on Data Engineering, Boston, MA, USA, 2004, p. 449.
11. Crossbow Technology Inc. 〈 http://www.xbow.com/ 〉.
12. D. Culler, P. Dutta, C.T. Ee, R. Fonseca, J. Hui, P. Levis, J. Polastre, S. Shenker, I. Stoica, G. Tolle, J. Zhao, Towards a sensor network architecture: lowering the waistline, in: Proceedings of the 10th Conference on Hot Topics in Operating Systems, vol. 10, Santa Fe, NM, June 1215, 2005, p. 24.
13. B. Das, V. Bharghavan, Routing in ad-hoc networks using minimum connected dominating sets, in: IEEE International Conference on Communications, Montreal, Que., Canada, June 0812, 1997, pp. 376380.
14. A. Deligiannakis, Y. Kotidis, N. Roussopoulos, Compressing historical information in sensor networks, in: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Paris, France, 2004, p. 449.
15. C.T. Ee, R. Fonseca, S. Kim, D. Moon, A. Tavakoli, D. Culler, S. Shenker, I. Stoica, A modular network layer for sensornets, in: Proceedings of the Seventh Symposium on Operating Systems Design and Implementation, Seattle, WA, USA, November 68, 2006, pp. 249262.
16. D. Gay, P. Levis, R. von Behren, M. Welsh, E. Brewer, D. Culler, The nesC language: a holistic approach to networked embedded systems, in: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, San Diego, CA, USA, 2003, pp. 111.
17. O. Gnawali, K.-Y. Jang, J. Paek, M. Vieira, R. Govindan, B. Greenstein, A. Joki, D. Estrin, E. Kohler, The tenet architecture for tiered sensor networks, in: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems (SenSys 2006), Boulder, CO, USA, SenSys 2006, pp. 153166.
18. S. Goel, and T. Imielinski Prediction-based monitoring in sensor networks: taking lessons from MPEG ACM SIGCOMM Computer Communication Review 31 4 2001 82 98
19. J. Gomez, A.T. Campbell, M. Naghshineh, C. Bisdikian, Power-aware routing in wireless packet networks, in: IEEE Mobile Multimedia Communications, San Diego, CA, USA, November 1517, 1999, pp. 380383.
20. J.L. Gross, and J. Yellen Graph Theory and its Application 2005 Chapman & Hall, CRC Press ISBN: 158488505X
21. V. Gutnik, and A.P. Chandrakasan Embedded power supply for low-power DSP IEEE Transactions on Very Large Scale Integration (VLSI) Systems 5 4 1997 425 435
22. W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, in: Proceedings of the 33rd Hawaii International Conference on System Sciences, vol. 8, Washington, DC, USA, 2000, pp. 30053014.
23. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, K. Pister, System architecture directions for networked sensors, in: Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, Cambridge, MA, USA, November 1215, 2000, pp. 93104.
24. C. Intanagonwiwat, R. Govindan, D. Estrin, Directed diffusion: a scalable and robust communication paradigm for sensor networks, in: Proceedings of the Annual International Conference on Mobile Computing and Networking, Boston, MA, USA, August 611, 2000, pp. 5667.
25. Intel Lab Data 〈 http://db.csail.mit.edu/labdata/labdata.html 〉.
26. S. Kim, R. Fonseca, P. Dutta, A. Tavakoli, D. Culler, P. Levis, S. Shenker, I. Stoica, Flush: a reliable bulk transport protocol for multihop wireless networks, in: Proceedings of the Fifth ACM Conference on Embedded Networked Sensor Systems, Sydney, Australia, November 69, 2007, pp. 351365.
27. S. Kim, S. Pakzad, D. Culler, J. Demmel, G. Fenves, S. Glaser, M. Turon, Health monitoring of civil infrastructures using wireless sensor networks, in: Proceedings of the Sixth International Conference on Information Processing in Sensor Networks, Cambridge, MA, USA, April, ACM Press, 2007, pp. 254263.
28. R. Kravets, and P. Krishnan Application-driven power management for mobile communication Wireless Networks Journal 6 4 2000 263 277
29. J.F. Kurose, K.W. Ross, Computer Networkinga Top Down Approach, fifth ed., Addison-Wesley, March 31, 2009, ISBN: 0-13-607967-9.
30. P. Levis, TinyOS Implementation Documentation, 2007.
31. P. Levis, N. Lee, M. Welsh, D. Culler, TOSSIM: accurate and scalable simulation of entire TinyOS applications, in: Proceedings of the First International Conference on Embedded Networked Sensor Systems, Los Angeles, CA, USA, 2003, pp. 126137.
32. Q. Li, J. Beaver, A. Amer, P.K. Chrysanthis, and A. Labrinidis Multi-criteria routing in wireless sensor-based pervasive environments Journal of Pervasive Computing and Communications 1 4 2005 313 326
33. T. Liu, C. Sadler, P. Zhang, M. Martonosi, Implementing software on resource-constrained mobile sensors: experiences with Impala and ZebraNet, in: Proceedings of the Second International Conference on Mobile Systems, Applications, and Services, Boston, MA, USA, June 69, 2004, pp. 256269.
34. S.R. Madden, M.J. Franklin, J.M. Hellerstein, W. Hong, TAG: a Tiny AGgregation service for ad-hoc sensor networks, in: Proceedings of the Fifth Symposium on Operating Systems Design and Implementation, Boston, MA, 2002, pp. 131146.
35. S.R. Madden, M.J. Franklin, J.M. Hellerstein, W. Hong, The design of an acquisitional query processor for sensor networks, in: Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, CA, USA, June 912, 2003, pp. 491502.
36. A. Mani, M. Rajashekhar, P. Levis, TINX: a tiny index design for flash memory on wireless sensor devices, in: Proceedings of the Fourth International Conference on Embedded Networked Sensor System, Boulder, CO, USA, October 31November 3, 2006, pp. 425426.
37. D. Moss, J. Hui, K. Klues, Low Power Listening, Core Working Group, TEP 105.
38. R. Murty, A. Gosain, M. Tierney, A. Brody, A. Fahad, J. Bers, M. Welsh, CitySense: a vision for an urban-scale wireless networking testbed, Harvard University Technical Report TR-13-07, September, 2007.
39. S. Nath, J. Liu, and F. Zhao SensorMap for wide-area sensor webs ACM Computer Journal 40 7 2007 90 93
40. N.A. Pantazis, D.J. Vergados, D.D. Vergados, and C. Douligeris Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling Ad Hoc Networks 7 2 2009 322 343
41. J. Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, I. Stoica, A unifying link abstraction for wireless sensor networks, in: Proceedings of the Third ACM Conference on Embedded Networked Sensor Systems, San Diego, CA, USA, November 24, 2005, pp. 7689.
42. J. Polastre, R. Szewczyk, D.E. Culler, TELOS: enabling ultra-low power wireless research, in: Fourth International Symposium on Information Processing in Sensor Networks, Los Angeles, CA, USA, April 2527, 2005, pp. 364369.
43. M.A. Sharaf, J. Beaver, A. Labrinidis, and P.K. Chrysanthis Balancing energy efficiency and quality of aggregate data in sensor networks The International Journal on Very Large Data Bases 13 4 2004 384 403
44. M.A. Sharaf, J. Beaver, A. Labrinidis, P.K. Chrysanthis, TiNA: a scheme for temporal coherency-aware in-network aggregation, in: Proceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access, San Diego, CA, USA, September 19, 2003, pp. 6976.
45. D. Sharma, V.I. Zadorozhny, P.K. Chrysanthis, Timely data delivery in sensor networks using whirlpool, in: Proceedings of the Second International Workshop on Data Management for Sensor Networks, Trondheim, Norway, 2005, pp. 5360.
46. O. Shigiltchoff, P.K. Chrysanthis, and E. Pitoura Adaptive multiversion data broadcast organizations The Information Systems Journal 29 6 2004 509 528
47. V. Shnayder, M. Hempstead, B. Chen, G. Werner-Allen, and M. Welsh Simulating the power consumption of large-scale sensor network applications ACM SenSys 2004 188 200
48. S. Singh, and C.S. Raghavendra PAMAS-power aware multi-access protocol with signalling for ad-hoc networks ACM SIGCOMM Computer Communication Review 28 3 1998 5 26
49. A. Sinha, and A. Chandrakasan Dynamic power management in wireless sensor networks IEEE Design and Test of Computers 18 2 2001 62 74
50. C. Srisathapornphat, and C.C. Shen Coordinated power conservation for ad hoc networks in: Proceedings of the IEEE International Conference on Communications (ICC 2002) vol. 5 May 2002 3330 3335
51. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, D. Culler, An analysis of a large scale habitat monitoring application, in: Proceedings of the Second International Conference on Embedded Networked Sensor Systems, Baltimore, MD, USA, November 35, 2004, pp. 214226.
52. Texas Instruments, CC2420, Single-Chip 2.4 GHz IEEE 802.15.4 Compliant and ZigBee(TM) Ready RF Transceiver, in: Texas Instrument Document, 2007, 〈 http://www.ti.com/lit/gpn/cc2420 〉.
53. H. Thomas, S. Yi, H.D. Sherali, Rate allocation in wireless sensor networks with network lifetime requirement, in: The ACM International Symposium on Mobile Ad Hoc Networking and Computing, Tokyo, Japan, 2426, 2004, pp. 6777.
54. V. Tsaoussidis, H. Badr, TCP-probing: towards an error control schema with energy and throughput performance gains, in: Proceedings of the International Conference on Network Protocols, Osaka, Japan, November, 2000, p. 12.
55. Voltree Power Inc. 〈 http://www.voltreepower.com/ 〉.
56. A. Woo, D.E. Culler, A transmission control scheme for media access in sensor networks, in: Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking, Rome, Italy, July 1621, 2001, pp. 221235.
57. Y. Xu, J. Heidemann, D. Estrin, Adaptive energy-conserving routing for multihop ad-hoc networks, Technical Report TR-2000-527, USC/Information Sciences Institute, October, 2000.
58. Y. Xu, J. Heidemann, D. Estrin, Geography-informed energy conservation for ad hoc routing, in: Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking, Rome, Italy, 2001, pp. 7084.
59. Y. Yao, J.E. Gehrke, Query processing in sensor networks, in: Proceedings of the First Biennial Conference on Innovative Data Systems Research, Asilomar, CA, January, 2003, pp. 58.
60. W. Ye, J. Heidemann, and D. Estrin Medium access control with coordinated adaptive sleeping for wireless sensor networks IEEE/ACM Transactions on Networking (TON) 12 3 2004 493 506
61. V. Zadorozhny, P.K. Chrysanthis, A. Labrinidis, Algebraic optimization of data delivery patterns in mobile sensor networks, in: Proceedings of the Database and Expert Systems Applications, 15th International Workshop, Zaragoza, Spain, August 30September 3, 2004, pp. 668672.
62. D. Zeinalipour-Yazti, P. Andreou, P.K. Chrysanthis, G. Samaras, MINT views: materialized in-network top-k views in sensor networks, in: Proceedings of the International Conference on Mobile Data Management, Mannheim, Germany, May 711, 2007, pp. 182189.
63. D. Zeinalipour-Yazti, P. Andreou, P.K. Chrysanthis, G. Samaras, A. Pitsillides, The microPulse framework for adaptive waking windows in sensor networks, in: Proceedings of the International Conference on Mobile Data Management, International Workshop on Data Intensive Sensor Networks, Mannheim, Germany, May 11, 2007, pp. 351355.
64. D. Zeinalipour-Yazti, S. Lin, V. Kalogeraki, D. Gunopulos, W. Najjar, MicroHash: an efficient index structure for flash-based sensor devices, in: Proceedings of the Fourth Conference on USENIX Conference on File and Storage Technologies, San Francisco, CA, USA, December 1316, 2005, pp. 3144, 〈 http://www.usenix.org/events/fast05/tech/zeinalipour-yazti.html 〉.
65. D. Zeinalipour-Yazti, Z. Vagena, D. Gunopulos, V. Kalogeraki, V. Tsotras, M. Vlachos, N. Koudas, D. Srivastava, The threshold join algorithm for top-K queries in distributed sensor networks, in: Proceedings of the Second International Workshop on Data Management for Sensor Networks, Trondheim, Norway, August 29, 2005, pp. 6166.
66. ZigBee Alliance, ZigBee specification, In: ZigBee Document 053474r06, Version 1.0, 2004.