A comparative of range free localization algorithms and DV-Hop using the Particle Swarm Optimization algorithm

Abstract

Localization is a priority problem in Wireless Sensor Networks (WSNs), since this provides the necessary information about where an event occurs. In this paper we evaluates different variants of range-free localization techniques such as DV-Hop and WDV-Hop using Hyperbolic and Weighted Hyperbolic positioning algorithms as well as the DV-Hop algorithm with PSO (Particle Swarm Optimization) algorithm. The localization algorithms are evaluated in three scenarios, where the number of RNs (References Nodes), the node density and the radio range are varied. The results obtained through the simulations show that the DV-Hop algorithm with PSO presents better performance in terms of accuracy and precision with respect to the DV-Hop and WDV-Hop algorithms using the Hyperbolic and Weighted Hyperbolic positioning algorithms in the proposed assessment scenarios.