A Routing Optimization Strategy for Wireless Sensor Networks Based on Improved Genetic Algorithm

淡江大學機構典藏 > 淡江出版期刊 > 淡江理工學刊 > 第19卷第2期 > Item 987654321/109058

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109058

题名:	A Routing Optimization Strategy for Wireless Sensor Networks Based on Improved Genetic Algorithm
作者:	Yao, Guangshun;Dong, Zaixiu;Wen, Weiming;Ren, Qian
关键词:	Wireless Sensor Network;Genetic Algorithm;Crossover;Mutation
日期:	2016-06
上传时间:	2017-01-03
出版者:	淡江大學出版中心
摘要:	In order to resolve the problem of generating invalid new individual when using genetic algorithm for routing optimization in wireless sensor networks (WSNs), an improved genetic algorithm (ROS_IGA) is put forward. By considering the position and neighbors of nodes in WSNs, ROS_IGA takes reasonable crossover and mutation operation to ensure compliance with the topological of actual WSNs and the demand of communication among nodes. Furthermore, ROS_IGA takes many factors, such as the residual energy of sensor nodes, distance and energy consumption between adjacent nodes, communication delay and relay hops, into consideration to select suitable routing. So ROS_IGA increases the speed of convergence and optimizes the performance of WSNs. Finally, a simulation experiment is carried out and the experimental results show that the improved algorithm in this study can effectively finds the best routing and decreases energy consuming and also increases the network life cycle.
關聯:	Journal of Applied Science and Engineering 19(2), pp.221228
DOI:	10.6180/jase.2016.19.2.13
显示于类别:	[淡江理工學刊] 第19卷第2期

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	364	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章