Flower pollination algorithm based localization of wireless sensor network

Abstract

Wireless sensor networks are highly valuable for many location - sensitive applications. Ordinarily, with the location of only a few sensors whose location is already known, localization algorithms work for estimation of remaining sensor positions. In this paper, Flower Pollination (FP) algorithm is used for WSN localization problem. The node's position calculated using FP algorithm is compared with the diverse variants of Particle Swarm Optimization (PSO) algorithm. From the simulation results, it is concluded that the proposed FP algorithm has better localization accuracy and success rate of localized nodes than the PSO variants.