Wireless technology is emerging as a key technology for the future networks. Wireless mesh networks (WMNs) have\nemerged as an indispensable technology for deployment of wireless services for various applications in personal,\nenterprise, and metropolitan areas. Researchers are working actively in different fields of WMNs for providing better\nservices. Routing protocols play a vital role in WMNs to provide reliable configuration and maintenance of topology\nof the network. Designing a suitable cost metric for routing protocols to provide quality links for data transmission\nis the backbone of WMNs. Many cost metrics have been proposed for WMNs and is still an active research topic as\nnew performance metrics need to be discovered due to the dynamics of this field. This paper considers the genetic\nalgorithm-based routing technique for WMN.\nWe have studied the existing cost metrics and proposed a genetic algorithm technique for routing in WMN. To\nevaluate the genetic algorithm, and to determine the relative performance of the genetic algorithm in the context\nof routing in WMN, we carry out experiments on two test systems. We have evaluated the quality of the results\nproduced by our algorithm with the traditional hop count metric results. Our results show that routing in WMN\nusing genetic algorithm produces better results as compared to traditional hop count metric results. Finally, we\ncarry out a detailed analysis of results, which help us in gaining an insight into the suitability of genetic algorithm\nfor routing in WMN.
Loading....