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Analysing qos trade-offs in wireless sensor networks

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Published:23 October 2007Publication History

ABSTRACT

Quality of Service (QoS) support for wireless sensor networks (WSN) is a fairly new topic that is gaining more and more interest. This paper introduces a method for configuring the nodes of a WSN such that application-level QoS constraints are met. This is a complex task, since the search space is typically extremely large. The method is based on a recent algebraic approach to Pareto analysis, that we use to reason about QoS trade-offs. It features an algorithm that keeps the working set of possible configurations small, by analysing parts of the network in a hierarchical fashion, and meanwhile discarding configurations that are inferior to other configurations. Furthermore, we give WSN models for two different applications, in which QoS trade-offs are made explicit. Test results show that the models are accurate and that the method is scalable and thus practically usable for WSN, even with large numbers of nodes.

References

  1. K. Akkaya and M. Younis, "An energy-aware QoS routing protocol for wireless sensor networks," in ICDCSW 2003, Proc., pp. 710--715, IEEE, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. Chen and P.K. Varshney, "QoS support in wireless sensor networks: A survey," in Int. Conference on Wireless Networks (ICWN 2004), CSREA Press, June 2004.Google ScholarGoogle Scholar
  3. "Crossbow technology website." http://www.xbow.com.Google ScholarGoogle Scholar
  4. M. Geilen, T. Basten, B. Theelen, and R. Otten, "An algebra of Pareto points," Fundamenta Informaticae, vol. 78, no. 1, pp. 35--74, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Haykin, A Introduction to Analog and Digital Communications. John Wiley & Sons, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. T. He, J. Stankovic, C. Lu, and T. Abdelzaher, "SPEED: A stateless protocol for real-time communication in sensor networks," in ICDCS 2003, Proc., IEEE, May 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. C. Lee, J. Lehoczky, R. Rajkumar, and D. Siewiorek, "On quality of service optimization with discrete QoS options," in Real-Time Technology and Applications Symposium, Proc., IEEE, June 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. "OMNeT++ website." http://www.omnetpp.org.Google ScholarGoogle Scholar
  9. G. Palermo, C. Silvano, and V. Zaccaria, "Multi-objective design space exploration of embedded systems," Journal of Embedded Computing, vol. 1, no. 3, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. Perillo and W. B. Heinzelman, "Providing application QoS through intelligent sensor management," in Int. Workshop on Sensor Network Protocols and Applications (SNPA '03), IEEE, 2003.Google ScholarGoogle Scholar
  11. J. Polastre, J. Hill, and D. Culler, "Versatile low power media access for wireless sensor networks," in Embedded networked sensor systems (SenSys '04), Proc., (New York, NY, USA), pp. 95--107, ACM Press, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. K. Römer, O. Kasten, and F. Mattern, "Middleware challenges for wireless sensor networks," SIGMOBILE Mob. Comput. Commun. Rev., vol. 6, no. 4, pp. 59--61, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. L. Thiele, S. Chakraborty, M. Gries, and S. Künzli, "A framework for evaluating design tradeoffs in packet processing architectures," in 39th Design Automation Conference (DAC 2002), (New Orleans LA, USA), pp. 880--885, ACM Press, June 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Y. Yu, B. Krishnamachari, and V. Prasanna, "Issues in designing middleware for wireless sensor networks," IEEE Network, vol. 18, pp. 15--21, Jan/Feb 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach," IEEE Transactions on Evolutionary Computation, vol. 3, pp. 257--271, Nov 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          MSWiM '07: Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
          October 2007
          422 pages
          ISBN:9781595938510
          DOI:10.1145/1298126

          Copyright © 2007 ACM

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          New York, NY, United States

          Publication History

          • Published: 23 October 2007

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