期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309173 8032
出版社：S&S Publications
摘要：Many intelligent optimization techniques like Artificial Neural Networks (ANN),Genetic Algorithms (GAs), etc., were being proposed to find the static shortest path. Rap id advancements in the wireless communication particularly in the field of mobile networks has emerged as two major fields namely Mobile Ad hoc Networks (MANETs) and Wireless Sensor Networks (WSN). Topology dynamics is the top mo st challenge in the mobile wireless network field i.e., the network topology changes over time due to energy conservation or node mobility. In order to find the shortest path (SP) with in this network becomes a d ynamic optimization problem due to nodes mobility. Nodes usually die due to low energy or it may move, this scenario makes the network to be more complex for finding shortest path. In this paper we propose a novel method of using Genetic Algorithms (G As) to solve the dynamic shortest path discovery and routing in MANETs. MANETs is one of the faster growing new -generation wireless networks. The experimental results indicate that this GA based algorithm can quick adopt to environmental change (i.e. the network topology change) and produce high quality solutions after each change
