NS2 PROJECT

A wireless sensor network localization algorithm based on particle swarm optimization aided least square support vector machine

Abstract:

                   This paper is focused on the localization problems of scattered nodes in the traditional wireless sensor network. A node localization method based on particle swarm optimization aided least square support vector regression is proposed. Firstly, the nearest neighbor clustering algorithm is used to determine the data type, where the nodes closest to the unknown node are employed as the clustering center. Then, a distributed structure based on the meshing of wireless sensor network is presented. Finally, the particle swarm optimization aided least square support vector machine algorithm is proposed for the wireless sensor network localization. Numerical experiments show that the proposed method is accurate and effective in wireless sensor network localization problems.