A delay-based approach using fuzzy logic to improve TCP error detection in ad hoc networks

In recent years, a great deal of effort has been devoted to make the TCP protocol more resilient to the random packet losses inherent in the wireless channels in ad hoc networks. In this paper, we investigate the use of fuzzy logic theory for assisting the TCP error detection mechanism in such networks. An elementary fuzzy logic engine is presented as an intelligent technique for discriminating packet loss due to congestion from packet loss by wireless induced errors. The architecture of the proposed fuzzy-based error detection mechanism is also introduced and discussed. The full approach, for inferring the internal state of the network, relies on round trip time (RTT) measurements only. Hence, this is an end-to-end scheme which requires only end nodes cooperation. Preliminary simulation evaluations show how viable this approach may be.

[1]  J. Broch,et al.  Dynamic source routing in ad hoc wireless networks , 1998 .

[2]  Torsten Braun,et al.  An Edge-based Approach for Improving TCP in Wireless Mobile Ad Hoc Networks* , 2001 .

[3]  Nitin H. Vaidya,et al.  Analysis of TCP Performance over Mobile Ad Hoc Networks , 1999, Wirel. Networks.

[4]  Lotfi A. Zadeh,et al.  Fuzzy Logic Toolbox User''''s Guide , 1995 .

[5]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[6]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[7]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[8]  Songwu Lu,et al.  Design and implementation of a TCP-friendly transport protocol for ad hoc wireless networks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[9]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[10]  Lotfi A. Zadeh,et al.  Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..

[11]  Ibrahim Matta,et al.  End-to-End Inference of Loss Nature in a Hybrid Wired/Wireless Environment , 2002 .

[12]  Ivan Marsic,et al.  Fuzzy Reasoning for Wireless Awareness , 2001, Int. J. Wirel. Inf. Networks.

[13]  Jian Liu,et al.  ATCP: TCP for mobile ad hoc networks , 2001, IEEE J. Sel. Areas Commun..

[14]  Shugong Xu,et al.  Does the IEEE 802.11 MAC protocol work well in multihop wireless ad hoc networks? , 2001, IEEE Commun. Mag..