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Limiting end-to-end delays in long-lasting sensor networks

Published:17 October 2010Publication History

ABSTRACT

Many applications require a lifetime of several years from a sensor network while expecting low and guaranteed end-to-end delays between sources and a sink. Obviously, these two parameters - lifetime and delay - contradict each other. In this work we present and evaluate a solution that limits the end-to-end delays and nevertheless achieves a long lifetime.

We introduce a model for evaluation of delay and lifetime in multi-hop sensor networks. According to our model a network of off-the-shelf sensor nodes limits an end-to-end delay to 5 seconds and works for 8 months. However, if applications can tolerate the end-to-end delay of 20 seconds, the nodes prolong the lifetime to approx. 2 years.

Our evaluation revealed that end-to-end delay affects the lifetime only to a certain limit. In our example this limit was 60 seconds, i.e. any delay change above 60 seconds does not influence the lifetime considerably.

References

  1. M. Brzozowski and P. Langendoerfer. On Prolonging Sensornode Gateway Lifetime by Adapting Its Duty Cycle. In Proceedings WWIC 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. Brzozowski, H. Salomon, and P. Langendoerfer. Completely distributed low duty cycle communication for long-living sensor networks. In Proceedings EUC 2009.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Brzozowski, H. Salomon, and P. Langendoerfer. ILA: Idle Listening Avoidance in Scheduled Wireless Sensor Networks. In Proceedings WWIC 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. N. Burri, P. von Rickenbach, and R. Wattenhofer. Dozer: ultra-low power data gathering in sensor networks. In Proceedings IPSN 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Q. Cao, T. Abdelzaher, T. He, and J. Stankovic. Towards optimal sleep scheduling in sensor networks for rare-event detection. In Proceedings IPSN 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. El-Hoiydi. Spatial tdma and csma with preamble sampling for low power ad hoc wireless sensor networks. Proceedings ISCC 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. IEEE Standard for Information Technology. Specific requirements Part 15.4: Wireless MAC and PHY, 2006.Google ScholarGoogle Scholar
  8. W. Lai and I. C. Paschalidis. Sensor network minimal energy routing with latency guarantees. In Proceedings of MobiHoc 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. R. Lim. Wireless fire sensor network demonstrator. Master's thesis, ETH Zurich, 2006.Google ScholarGoogle Scholar
  10. G. Lu, B. Krishnamachari, and C. S. Raghavendra. An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks. Wireless Communications and Mobile Computing, 7, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. J. Miller, C. Sengul, and I. Gupta. Exploring the Energy-Latency Trade-Off for Broadcasts in Energy-Saving Sensor Networks. In Proceedings ICDCS 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Moteiv Corporation. Tmote Sky Ultra low power IEEE 802.15.4 compliant wireless sensor module http://www.sentilla.com, 2006.Google ScholarGoogle Scholar
  13. R. Musaloiu-E., C. J. M. Mike Liang, and A. Terzis. Koala: Ultra-low power data retrieval in wireless sensor networks. In Proceedings IPSN 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. C. E. Perkins and E. M. Royer. Ad-hoc on-demand distance vector routing. In Proceedings WMCSA 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. J. Polastre, J. Hill, and D. Culler. Versatile low power media access for wireless sensor networks. In Proceedings SenSys '04. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Sanyo. Twicell HR-3UTG datasheet. http://www.eneloop.info.Google ScholarGoogle Scholar
  17. M. Sekine, S. Nakamura, and K. Sezaki. An Energy-Efficient Protocol for Active/Sleep Schedule Synchronization in Wireless Sensor Networks. In Proceedings APCC 2006.Google ScholarGoogle ScholarCross RefCross Ref
  18. N. A. Vasanthi and S. Annadurai. Energy efficient sleep schedule for achieving minimum latency in query based sensor networks. In Proceedings SUTC '06. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. W. Ye, J. Heidemann, and D. Estrin. An energy-efficient mac protocol for wireless sensor networks. In Proceedings INFOCOMM 2002.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        MobiWac '10: Proceedings of the 8th ACM international workshop on Mobility management and wireless access
        October 2010
        138 pages
        ISBN:9781450302777
        DOI:10.1145/1868497

        Copyright © 2010 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 17 October 2010

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