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International Journal of Distributed Sensor Networks
Volume 3 (2007), Issue 1, Pages 41-57
Original Article

A Search Space Reduction Algorithm for Improving the Performance of a GA-Based QoS Routing Method in Ad-Hoc Networks

1Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), Wajiro-Higashi, Higashi-ku, Fukuoka, Japan
2Graduate School of Engineering, Fukuoka Institute of Technology (FIT), Wajiro-Higashi, Higashi-ku, Fukuoka, Japan
3Department of Computer Science, Louisiana State University, Baton Rouge, LA, USA
4Department of Informatics, Yamagata University, Jonan, Yonezawa, Yamagata, Japan

Copyright © 2007 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A lot of work has been done on routing in MANETs. However, the proposed routing solutions deal only with the best effort data traffic. Connections with Quality of Service (QoS) requirements are not supported. The QoS routing has been receiving increasingly intensive attention in the wireline network domain. However, for MANETs only few QoS routing algorithms are proposed. For MANETs, approximated solutions and heuristic algorithms should be developed and QoS routing algorithms should be adaptive, flexible, and intelligent. In our previous work, we proposed a Genetic Algorithm (GA) based routing method for Mobile Ad-hoc Networks (GAMAN). In this paper, we enhance the proposed algorithm by adding an effective topology extraction algorithm to reduce the search space of GAMAN. We call this algorithm E-GAMAN. The E-GAMAN uses two QoS parameters for routing. The performance evaluation via simulations show that E-GAMAN has a good performance.