期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2016
卷号：9
期号：5
页码：279-294
DOI：10.14257/ijfgcn.2016.9.5.27
出版社：SERSC
摘要：In order to improve the positioning accuracy of wireless sensors, and aiming at the parameter optimization problem of least squares support vector machine (LSSVM), a node positioning of particle swarm optimization's optimized LSSVM sensor is proposed. First, two-dimensional wireless sensor positioning model sample is established, and then LSSVM is adopted to establish node positioning model and PSO algorithm is used to find the optimal parameter. Finally, node's performance of positioning is tested by simulation experiment. Compared with other positioning method, PSO-LSSVM improves the positioning accuracy of sensor node with some certain practical application value.
关键词：wireless sensor network; node positioning; least squares support vector ; machine
