An Improved Localization Algorithm for Wireless Sensor Network

Abstract

Abstract In wireless sensor network (WSN), the basic requirement is the localization of nodes, it can make the application of wireless sensor network effectively, so it is the key to improve the accuracy of localization. This paper aims at the accuracy problem by range-based localization model, and two improved algorithms that based on negative gradient method are proposed for nodes localization errors in wireless sensor networks: segmentation Learning rate algorithms based on negative gradient; FR conjugate negative gradient algorithms. Under some priori assumptions, this paper gives the basic principles and two implementation algorithms. It is proved that these two improved algorithms are more accurate than some existing algorithms through the simulation results using Matlab.