Research into Positioning of the Least Square Support Vector Machine based on Fisher Fishing in WSN

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.