文章基本信息

标题：MANET ROUTING: OPTIMIZATION BY GENETIC AND FUZZY LOGIC APPROACH
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作者：N.K. KUPPUCHAMY R.MANIMEGALAI
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：58
期号：2
出版社：Journal of Theoretical and Applied
摘要：Mobile Ad hoc network is a collection of self configurable mobile nodes with no fixed infrastructure. Since all nodes are in roaming, the topology of MANET is dynamic. Therefore, routing is the highly challenging task when node mobility is high. Different types of routing protocols are proposed in literature, and each has some advantages and limitations. This work proposes fuzzy logic and genetic approach to select optimal routes to satisfy QoS required by applications using MANETs. Fuzzy rule based system is formed by the linguistic variables actual end to end delay (Ae), number of times the node leaves the network (Nl), number of packets dropped (Nd) and number of Rrep generated (Nr). Simulations are conducted with the proposed method. Numeric results show that fuzzy genetic approach for routing improves the performance than existing AODV routing protocol.
关键词：Mobile Ad Hoc Network (MANET); Fuzzy Logic Routing; Genetic Algorithms.