Fuzzy Reasoning for Wireless Awareness

  • Liang Cheng
  • Ivan Marsic


In hybrid communication environments where both wired and wireless links exist, performance of the quality-of-service (QoS) provision can be enhanced if an application knows whether there exist wireless links in the communication channel and adapts its behavior accordingly. This paper presents a scheme using fuzzy reasoning to make applications wireless-aware. Based on the studies of statistical patterns of round-trip time (RTT) in communication sessions via wired and wireless links, the mean value and variance of RTTs are used as fuzzy inputs, and the confidence of existence of wireless links in the communication channel as the fuzzy output. Simulations and experiments show that fuzzy reasoning for wireless awareness (FuRWA) is a feasible way to enhance QoS in hybrid communication environments at the application layer. FuRWA adds intelligence into endpoints without modifying protocol stacks, and can handle scenarios where a wireless link is an intermediate component of a communication path.

Wireless communication quality of service fuzzy logic round-trip time 


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  1. 1.
    H. Balakrishnan, S. Seshan, E. Amir, and R. Katz, Improving TCP IP performance over wireless networks, Proceedings of the 1st Annual ACM IEEE International Conference on Mobile Computing and Networking (MobiCom '95), pp. 2–11, Berkeley, CA, USA, November 13–15, 1995.Google Scholar
  2. 2.
    S. Biaz and N. H. Vaidya, Distinguishing congestion losses from wireless transmission losses: A negative result, Proceedings of the IEEE 7th International Conference on Computer Communications and Networks, pp. 722–731, Lafayette, Louisiana, USA, October 12–15, 1998.Google Scholar
  3. 3.
    L. Brakmo, S. O'Malley, and L. Peterson, TCP Vegas: new techniques for congestion detection and avoidance, Proceedings of ACM SIGCOMM'94, pp. 24–35, London, England, August 31-September 2, 1994.Google Scholar
  4. 4.
    J. Broch, D. A. Maltz, D. B. Johnson, Y. C. Hu, and J. Jetcheva, A performance comparison of multi-hop wireless ad hoc network routing approach, Proceedings of the 4th Annual ACM IEEE International Conference on Mobile Computing and Networking (Mobi-Com'98), pp. 85–97, Dallas, Texas, USA, October 25–30, 1998.Google Scholar
  5. 5.
    K. Chandran, S. Raghunathan, S. Venkatesan, and R. Prakash, A feedback based scheme for improving TCP performance in ad-hoc wireless networks, Proceedings of the 18th International Conference on Distributed Computing Systems (ICDCS'98), pp. 472–479, Amsterdam, Netherlands, May 26–29, 1998.Google Scholar
  6. 6.
    L. Cheng and I. Marsic, Wireless awareness for multimedia applications, Proceedings of the IFIP International Conference on Communication Technologies 2000, pp. 1376–1382, Beijing, P.R. China, August 22–24, 2000.Google Scholar
  7. 7.
    M. S. Corson and J. Macker, Mobile ad hoc networking (MANET): routing protocol performance issues and evaluation considerations, Request for Comments (RFC) 2501, January 1999.Google Scholar
  8. 8.
    A. B. Downey, Using pathchar to estimate Internet link characteristics, Proceedings of ACM SIGCOMM'99, pp. 241–250, Cambridge, MA, USA, August 30-September 3, 1999.Google Scholar
  9. 9.
    M. Gerla, R. Bagrodia, L. Zhang, K. Tang, and L. Wang, TCP over wireless multihop protocols: simulation and experiments, Proceedings of IEEE ICC'99, Vancouver, Canada, June 1999.Google Scholar
  10. 10.
    P. Karn and C. Patridge, Improving round-trip time estimates in reliable transport protocols, ACM Transactions on Computer Systems, Vol. 9, No. 4, pp. 364–373, November 1991.Google Scholar
  11. 11.
    D. L. Mills, Internet delay experiments, Request for Comments (RFC) 889, December 1983.Google Scholar
  12. 12.
    G. C. Mouzouris and J. M. Mendel, Nonsingleton fuzzy logic systems: theory and application, IEEE Transactions on Fuzzy Systems, Vol. 5, No. 1, pp. 56–62, 1997.Google Scholar
  13. 13.
    C. E. Perkins, Mobile IP: Design Principles and Practice, Addison-Wesley: Reading, 1997.Google Scholar
  14. 14.
    L. A. Peterson and B. S. Davie, Computer Networks: A Systems Approach, 2nd edition, Morgan-Kaufmann Publisher, 2000.Google Scholar
  15. 15.
    P. Sinha, N. Venkitaraman, R. Sivakumar, and V. Bharghavan, WTCP: a reliable transport protocol for wireless wide-area networks, Proceedings of the 5th Annual ACM IEEE International Conference on Mobile Computing and Networking (Mobicom'99), pp. 231–241, Seattle, Washington, USA, August 15–19, 1999.Google Scholar
  16. 16.
    J. Solomon, Mobile IP: The Internet Unplugged, Prentice Hall, 1998.Google Scholar
  17. 17.
    Z. Wang and J. Crowcroft, A new congestion control scheme: slow start and search (Tri-S), ACM Computer Communication Review, Vol. 21, pp. 32–43, January 1991.Google Scholar
  18. 18.
    L. A. Zadeh, Fuzzy sets, Information and Control, Vol. 8, pp. 338–353, 1965.Google Scholar
  19. 19.
    L. A. Zadeh, Fuzzy logic computing with words, IEEE Trans. on Fuzzy Systems, Vol. 4, No. 2, pp. 104–111, 1996.Google Scholar

Copyright information

© Plenum Publishing Corporation 2001

Authors and Affiliations

  • Liang Cheng
    • 1
  • Ivan Marsic
    • 1
  1. 1.Department of Electrical and Computer Engineering and the CAIP Center, RutgersThe State University of New JerseyPiscatawayUSA

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