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  • 标题:Fuzzy Improved Genetic Approach for Route Optimization in MANET
  • 本地全文:下载
  • 作者:Jaspal Jindal ; Vishal Gupta
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:In any network QOS is one the basic requirement and when we talk about the MANET(mobile AD-HOC network) this is the highly constraint requirement of a user. To improve the quality of service we use different changes in MANET protocols, its parameter, routing algorithm etc. In this proposed work we are also improving the QOS by modifying the routing algorithm. The proposed routing algorithm is inspired from the genetic approach. The proposed algorithm will follow all the basic steps of routing algorithm in the sequence. As in initializing phase we will select the shortest path and one alternative aggregative path. The shortest path selection always returns the congestion over the network. Instead of using the shortest path we will select a genetic inspired path. . In this work, the selection of the next cross over child path will be identified based on cyclic fuzzy logic. The whole process will optimize the routing algorithm to improve the QOS. In this work, the fuzzy-improved Genetic algorithm will be implemented on MATLAB 7.1 for the route generation
  • 关键词:QOS (quality of service); MANET (mobile ad-hoc network); ROUTE; Fuzzy; MATLAB (Matrix in Laboratory)
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