skip to main content
10.1145/1367943.1367946acmconferencesArticle/Chapter ViewAbstractPublication PagescasemansConference Proceedingsconference-collections
research-article

Localized power-aware routing in linear wireless sensor networks

Published:19 May 2008Publication History

ABSTRACT

Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable return on investment is a crucial factor. One such commercial application that motivated this work is telemetry and control for freight railroad trains. Since a railroad train has a global linear structure by nature, we consider in this paper linear WSNs as sensor networks having, roughly, a linear topology. Aiming at such networks, we introduce two routing schemes that efficiently utilize energy: Minimum Energy Relay Routing (MERR) and Adaptive MERR (AMERR). We derive a theoretical lower bound on the optimal power consumption of routing in a linear WSN, where we assume a Poisson model for the distribution of nodes along a linear path. We evaluate the efficiency of our protocols with respect to the theoretical optimal lower bound and with respect to other well-known protocols. AMERR achieves optimal performance for practical deployment settings, while MERR rapidly approaches optimal performance as sensors are more densely deployed. Compared to other protocols, we show that MERR and AMERR are less complex and have better scalability. We also postulate how both protocols might be generalized to a two-dimensional WSN.

References

  1. K. Akkaya and M. Younis. A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3(3):325--349, May 2005.Google ScholarGoogle ScholarCross RefCross Ref
  2. J. N. Al-Karaki and A. E. Kamal. Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications Magazine, 11(6):6--28, Dec. 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Bhardwaj, T. Garnett, and A. Chandrakasan. Upper bounds on the lifetime of sensor networks. In Proc. IEEE International Conference on Communications (ICC), pages 785--790, June 2001.Google ScholarGoogle ScholarCross RefCross Ref
  4. B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris. Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pages 85--96, July 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. K. Chintalapudi, T. Fu, J. Paek, N. Kothari, S. Rangwala, J. Caffrey, R. Govindan, E. Johnson, and S. Masri. Monitoring civil structures with a wireless sensor network. IEEE Internet Computing, 10(2):26--34, Mar. 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. E. J. Duarte-Melo and M. Liu. Analysis of energy consumption and lifetime of heterogeneous wireless sensor networks. In Proc. IEEE GLOBCOM, pages 21--25, Nov. 2002.Google ScholarGoogle ScholarCross RefCross Ref
  7. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar. Next century challenges: Scalable coordination in sensor networks. In Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pages 263--270, Aug. 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. G. G. Finn. Routing and addressing problems in large metropolitan-scale internetworks. Technical Report ISI/RR-87-180, Institute for Scientific Information (ISE), Mar. 1987.Google ScholarGoogle ScholarCross RefCross Ref
  9. Q. Gao, K. J. Blow, D. J. Holding, I. W. Marshall, and X. Peng. Routing analysis and energy efficiency in wireless sensor networks. In Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2004), pages 533--536, June 2004.Google ScholarGoogle ScholarCross RefCross Ref
  10. G. Gupta and M. Younis. Fault-tolerant clustering of wireless sensor networks. In Proc. IEEE Wireless Communications and Networking Conference (WCNC), pages 1579--1584, Mar. 2003.Google ScholarGoogle ScholarCross RefCross Ref
  11. W. Heinzelman. Application-Specific Protocol Architectures for Wireless Networks. PhD thesis, Massachusetts Institute of Technology, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-efficient communication protocol for wireless microsensor networks. In Proc. Hawaiian International Conference on Systems Science, pages 1--10, Jan. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pages 56--67, Aug. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. F. C. Kingman. Poisson Processes. Oxford University Press, New York, 1993.Google ScholarGoogle Scholar
  15. Y.-B. Ko and N. H. Vaidya. Location-aided routing (LAR) in mobile ad hoc networks. Wireless Networks, 6(4):307--321, July 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. Kulik, W. Heinzelman, and H. Balakrishnan. Negotiation-based protocols for disseminating information in wireless sensor networks. Wireless Networks, 8(2/3):169--185, Mar. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. J. Kuruvila, A. Nayak, and I. Stojmenovic. Progress based localized power and cost aware routing algorithms for ad hoc and sensor wireless networks. Lecture Notes in Computer Science (LNCS), 3158:294--299, July 2004.Google ScholarGoogle Scholar
  18. L. Li and J. Y. Halpern. Minimum-energy mobile wireless networks revisited. In Proc. IEEE International Conference on Communications (ICC), pages 278--283, June 2001.Google ScholarGoogle ScholarCross RefCross Ref
  19. L. Li, J. Y. Halpern, P. Bahl, Y.-M. Wang, and R. Wattenhofer. A cone-based distributed topology-control algorithm for wireless multi-hop networks. IEEE/ACM Transactions on Networking, 13(1):147--159, Feb. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson. Wireless sensor networks for habitat monitoring. In Proc. ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2002), pages 88--97, Sept. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. J. M. Molina-Garcia-Pardo, A. Martinez-Sala, M. V. Bueno-Delgado, E. Egea-Lopez, L. Juan-Llacer, and J. Garcia-Haro. Channel model at 868 mhz for wireless sensor networks in outdoor scenarios. In Proc. International Workshop on Wireless Ad-Hoc Networks (IWWAN 2005), May 2005.Google ScholarGoogle Scholar
  22. M. Ndoh and G. Y. Delisle. Geolocation in underground mines using wireless sensor networks. In Proc. IEEE Antennas and Propagation Society International Symposium, pages 229--232, July 2005.Google ScholarGoogle ScholarCross RefCross Ref
  23. J. Pan, L. Cai, Y. T. Hou, Y. Shi, and S. X. Shen. Optimal base-station locations in two-tiered wireless sensor networks. IEEE Transactions on Mobile Computing, 4(5):458--473, Sept. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. J. Pan, Y. T. Hou, L. Cai, Y. Shi, and S. X. Shen. Topology control for wireless sensor networks. In Proc. ACM International Conference on Mobile Computing and Networking (MobiCom), pages 286--299, Sept. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. T. S. Rappaport. Wireless Communications: Principles & Practice. Prentice-Hall, New Jersey, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. V. Rodoplu and T. H. Meng. Minimum energy mobile wireless networks. IEEE Journal on Selected Areas in Communications, 17(8):1333--1344, Aug. 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. C. Schurgers, V. Tsiatsis, S. Ganeriwal, and M. Srivastava. Topology management for sensor networks: Exploiting latency and density. In Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pages 135--145, June 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. I. Stoianov, L. Nachman, and S. Madden. Pipenet: A wireless sensor network for pipeline monitoring. In Proc. IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN 2007), pages 264--273, Apr. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. I. Stojmenovic. Position-based routing in ad hoc networks. IEEE Communications Magazine, 40(7):128--134, July 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. I. Stojmenovic and X. Lin. Power-aware localized routing in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 12(11):1122--1133, Nov. 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. H. Takagi and L. Kleinrock. Optimal transmission ranges for randomly distributed packet radio terminals. IEEE Transactions on Communications, 32(3):246--257, Mar. 1984.Google ScholarGoogle ScholarCross RefCross Ref
  32. R. Wattenhofer, L. Li, P. Bahl, and Y.-M. Wang. Distributed topology control for power efficient operation in multihop wireless ad hoc networks. In Proc. IEEE INFOCOM, pages 1388--1397, Apr. 2001.Google ScholarGoogle ScholarCross RefCross Ref
  33. G. Werner-Allen, K. Lorincz, M. Welsh, O. Marcillo, J. Johnson, M. Ruiz, and J. Lees. Deploying a wireless sensor network on an active volcano. IEEE Internet Computing, 10(2):18--25, Mar. 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Y. Xu, J. Heidemann, and D. Estrin. Geography-informed energy conservation for ad hoc routing. In Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pages 70--84, July 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. F. Ye, H. Luo, J. Cheng, S. Lu, and L. Zhang. A two-tier data dissemination model for large-scale wireless sensor networks. In Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pages 148--159, Sept. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. O. Younis and S. Fahmy. HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4):366--379, Oct. 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. M. Zimmerling, W. Dargie, and J. M. Reason. Energy-efficient routing in linear wireless sensor networks. In Proc. IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2007), pages 1--3, Oct. 2007.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Localized power-aware routing in linear wireless sensor networks

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CASEMANS '08: Proceedings of the 2nd ACM international conference on Context-awareness for self-managing systems
        May 2008
        40 pages
        ISBN:9781605580104
        DOI:10.1145/1367943

        Copyright © 2008 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 19 May 2008

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader