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Lightweight Deployment-Aware Scheduling for Wireless Sensor Networks

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Abstract

Wireless sensor networks consist of a large number of tiny sensors that have only limited energy supply. One of the major challenges in constructing such networks is to maintain long network lifetime as well as sufficient sensing areas. To achieve this goal, a broadly-used method is to turn off redundant sensors. In this paper, the problem of estimating redundant sensing areas among neighbouring wireless sensors is analysed. We present simple methods to estimate the degree of redundancy without the knowledge of location or directional information. We also provide tight upper and lower bounds on the probability of complete redundancy and on the average partial redundancy. With random sensor deployment, our analysis shows that partial redundancy is more realistic for real applications, as complete redundancy is expensive, requiring up to 11 neighbouring sensors to provide a 90 percent chance of complete redundancy. Based on the analysis, we propose a scalable Lightweight Deployment-Aware Scheduling (LDAS) algorithm, which turns off redundant sensors without using accurate location information. Simulation study demonstrates that the LDAS algorithm can reduce network energy consumption and provide desired QoS requirement effectively.

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References

  1. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, A survey on sensor networks, IEEE Communications Magazine 40(8) (2002) 102–114.

    Article  Google Scholar 

  2. B. Chen, K. Jamieson, H. Balakrishnan and 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 (MobiCom 01), Rome, Italy (July 2001) pp. 85–96.

  3. D.E. Culler, J. Hill, P. Buonadonna, R. Szewczyk and A. Woo, A network-centric approach to embedded software for tiny devices, in: Proceedings of First International Workshop on Embedded Software (EMSOFT 2001), Tahoe City, California (Oct. 2001) pp. 114–130.

  4. Y. Gao, K. Wu and F. Li, Analysis on the redundancy of wireless sensor networks, in: Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications (WSNA 03) San Diego, CA, (Sept. 2003).

  5. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler and K. Pister, System architecture directions for networked sensors, in: Proceedings of Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, Cambridge, MA (Nov. 2000).

  6. C. Intanagonwiwat, R. Govindan, and D. Estrin, Directed diffusion: A scalable and robust communication paradigm for sensor networks, in: Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking (MobiCom 00), Boston (Aug. 2000) pp. 56–67.

  7. J. Kahn, R. Katz and K. Pister, Next century challenges: Mobile networking for smart dust, in: Proceedings of The Fifth Annual International Conference on Mobile Computing and Networking (MobiCom 99), Seattle, USA, (August 1999) pp. 263–270.

  8. L. Li and J.Y. Halpern, Minimum energy mobile wireless networks revisited, in: Proceedings of IEEE International Conference on Communications (ICC), Helsinki, Finland (June 2001) pp. 278–283.

  9. S.Y. Ni, Y.C. Tseng, Y.S. Chen and J.P. Sheu, The broadcast storm problem in a mobile ad hoc network, in: Proceedings of the Fifth Annual International Conference on Mobile Computing and Networking (MobiCom 99), Seattle, USA (Aug. 1999) pp. 151–162.

  10. J. Pan, Y.T. Hou, L. Cai, Y. Shi and S.X. Shen, Topology control for wireless sensor networks, in: Proceedings of the Ninth Annual International Conference on Mobile Computing and Networking (MobiCom 03), San Diego, CA (Sept. 2003) pp. 286–299.

  11. A. Porret, T. Melly, C.C. Enz and E.A. Vittoz, A low-power low-voltage transceiver architecture suitable for wireless distributed sensor networks, in: IEEE International Symposium on Circuits and Systems, Geneva, Switzerland (May 2000). CD-ROM Proceedings.

  12. S. Ramanathan and R. Rosales-Hain, Topology control of multihop radio networks using transmit power adjustment, in: Proceedings of IEEE Infocom 2000, Tel Aviv, Israel (March 2000).

  13. S. Shakkottai, R. Srikant and N. Shroff, Unreliable sensor grids: Coverage, connectivity and diameter, in: Proceedings of IEEE Infocom 2003, San Francisco, California (March 2003).

  14. E. Shih, S. Cho, N. Ickes, R. Min, A. Sinha, A. Wang and A. Chandrakasan, Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks, in: Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (MobiCom 01), Rome, Italy (July 2001, pp. 272–287.

  15. I. Stojmenovic, Position based routing in ad hoc networks, IEEE Communications Magazine, 40(7) (July 2002) 128–134.

    Google Scholar 

  16. D. Tian and N.D. Georganas, A Coverage-preserved Node Scheduling scheme for large wireless sensor networks, in: Proceedings of First International Workshop on Wireless Sensor Networks and Applications (WSNA'02), Atlanta, USA (Sept. 2002) pp. 32–41.

  17. S. Tilak, N.B. Abu-Ghazaleh and W. Heinzelman, Infrastructure tradeoffs for sensor networks, in: Proceedings of First International Workshop on Wireless Sensor Networks and Applications (WSNA'02), Atlanta, USA (Sept. 2002) pp. 49–57.

  18. X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless and C. Gill, Integrated coverage and connectivity configuration in wireless sensor networks, in: Proceedings of ACM SenSys 2003 Los Angels, LA (Oct. 2003).

  19. B. Warneke, M. Last, B. Leibowitz, K.S.J. Pister, Smart dustxssxs: Communicating with a cubic-millimeter computer, IEEE Computer Magazine, 34(1) pp. 44–51.

    Google Scholar 

  20. Y. Xu, J. Heidemann and D. Estrin, Geography-informed energy conservation for ad hoc routing, in: Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (MobiCom 01), Rome, Italy (July 2001) pp. 70–84.

  21. F. Xue and P.R. Kumar, The number of neighbours needed for connectivity of wireless networks, Wireless Networks, To appear.

  22. F. Ye, G. Zhong, S. Lu and L. Zhang, Energy efficient robust sensing coverage in large sensor networks, UCLA Technical Report.

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Authors and Affiliations

  1. Computer Science Department, University of Victoria, BC, Canada, V8W 3P6

    Kui Wu

  2. Irving K. Barber School of Arts and Sciences, UBC-Okanagan, BC, Canada, V1V 1V7

    Yong Gao

  3. The Media Laboratory, M.I.T. 77 Massachusetts Ave., Cambridge, MA, 02139, USA

    Fulu Li

  4. Computer Science Department, The University of Memphis, Memphis, TN, 38152, USA

    Yang Xiao

Authors
  1. Kui Wu
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  2. Yong Gao
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  3. Fulu Li
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  4. Yang Xiao
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Corresponding author

Correspondence to Kui Wu.

Additional information

This research was partially supported by Natural Sciences and Engineering Research Council of Canada.

Kui Wu received his Ph.D. in Computing Science from the University of Alberta, Canada, in 2002. He joined the Department of Computer Science at the University of Victoria, Canada in the same year and is currently an Assistant Professor there. His research interests include mobile and wireless networks, network performance evaluation, and network security.

Yong Gao received his Master's degree and Ph.D. degree in computer science from University of Alberta, Canada, in 2000 and 2005 respectively. He is currently with the Irving K. Barber School of Arts and Sciences, UBC Okanagan, Canada. His research interests include search algorithms and AI, communication networks, and computational biology.

Yang Xiao worked at Micro Linear as an MAC (Medium Access Control) architect involving the IEEE 802.11 standard enhancement work before he joined Department of Computer Science at The University of Memphis in 2002. Dr. Xiao is an IEEE Senior member. He was a voting member of IEEE 802.11 Working Group from 2001 to 2004. He currently serves as Editor-in-Chief for International Journal of Security and Networks (IJSN) and for International Journal of Sensor Networks (IJSNet). He serves as an associate editor or on editorial boards for the following refereed journals: (Wiley) International Journal of Communication Systems, (Wiley) Wireless Communications and Mobile Computing (WCMC), EURASIP Journal on Wireless Communications and Networking, and International Journal of Wireless and Mobile Computing. He serves as five lead/sole guest editor for five journal special issues. He serves as a referee/reviewer for many funding agencies, as well as a panelist for NSF. His research interests are Security/ Reliable Communications, Medium Access Control, Mobility/Location/Paging Managements, Cache Access and Replacement Policies, Quality of Service, Energy Efficiency, and Routing in wireless networks and mobile computing.

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Wu, K., Gao, Y., Li, F. et al. Lightweight Deployment-Aware Scheduling for Wireless Sensor Networks. Mobile Netw Appl 10, 837–852 (2005). https://doi.org/10.1007/s11036-005-4442-8

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  • DOI: https://doi.org/10.1007/s11036-005-4442-8

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