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：6
页码：145-150
DOI：10.14257/ijfgcn.2016.9.6.14
出版社：SERSC
摘要：In order to improve the accuracy of positioning wireless sensor and aiming at optimizing the least square support vector machine's parameters, a sensor node positioning method based on fisher fishing optimization – the least square support vector machine is proposed. First of all, learning samples of the three-dimensional wireless sensor positioning model are established, and then the least square support vector machine is used to establish the three dimensional node positioning model and fisher fishing is used to find the optimal support vector machine's parameter. The results show that algorithm in this paper can effectively improve the accuracy of positioning sensor node and reduce positioning errors, so it has certain practical value.
关键词：Wireless sensor network; Three-dimensional node positioning; the least ; square support vector machine; Fisher fishing
