Bio-Inspired Cooperative Localization in Industrial Wireless Sensor Network

Abstract

In this paper, we propose the application of a hybrid bio-inspired optimization algorithm as a localization algorithm for industrial wireless sensor networks (WSNs). The proposed algorithm combines Dragonfly Algorithm (DA) and Particle Swarm Optimization (PSO) to gain small computational time and high accuracy. Previous works have shown that bio-inspired algorithms demonstrate potential in facilitating accurate and efficient localization. We present the scenario of cooperative localization, where unknown nodes will request for assistance from neighboring anchor nodes and unknown nodes that have already obtain their location. The proposed algorithm is compared with PSO and DA in a sensor network with a mesh topology. The results show that the proposed algorithm fares better than the other algorithms when considering both localization error and computation time.