文章基本信息

标题：Wireless Sensor Networks Coverage Optimization based on Improved AFSA Algorithm
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作者：Wang DaWei ; Wang Changliang
期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2015
卷号：8
期号：1
页码：99-108
DOI：10.14257/ijfgcn.2015.8.1.11
出版社：SERSC
摘要：How to best solve the coverage problem has always been a critical issue in wireless sensor networks; this paper focuses on redundant network nodes, short life cycle and other defects and firstly sets nodes utilization and network effective coverage as optimization goals, so as to establish relevant mathematical model, and then introduce the inverse Gaussian mutation algorithms on AFSA, making the improved algorithm to solve the model, and get the optimal coverage scheme for wireless sensor networks. Simulation results show that the improved AFSA can effectively improve the coverage of wireless sensor network nodes, effectively reducing network costs, and the network lifetime has been extended.
关键词：wireless sensor networks; coverage optimization; AFSA; inverse Gaussian ; variation