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Fuzzy Reasoning for Wireless Awareness

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Abstract

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.

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REFERENCES

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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. D. L. Mills, Internet delay experiments, Request for Comments (RFC) 889, December 1983.

  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. C. E. Perkins, Mobile IP: Design Principles and Practice, Addison-Wesley: Reading, 1997.

    Google Scholar 

  14. L. A. Peterson and B. S. Davie, Computer Networks: A Systems Approach, 2nd edition, Morgan-Kaufmann Publisher, 2000.

  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.

  16. J. Solomon, Mobile IP: The Internet Unplugged, Prentice Hall, 1998.

  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. L. A. Zadeh, Fuzzy sets, Information and Control, Vol. 8, pp. 338–353, 1965.

    Google Scholar 

  19. L. A. Zadeh, Fuzzy logic computing with words, IEEE Trans. on Fuzzy Systems, Vol. 4, No. 2, pp. 104–111, 1996.

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering and the CAIP Center, Rutgers, The State University of New Jersey, 94 Brett Road, Piscataway, NJ, 08854, USA

    Liang Cheng & Ivan Marsic

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  1. Liang Cheng
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  2. Ivan Marsic
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Cheng, L., Marsic, I. Fuzzy Reasoning for Wireless Awareness. International Journal of Wireless Information Networks 8, 15–26 (2001). https://doi.org/10.1023/A:1011329512150

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  • DOI: https://doi.org/10.1023/A:1011329512150

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