COMPARATIVE STUDY USING META HEAURISTIC ALGORITHMS ON NODE LOCALIZATION WITH UWB NETWORK FOR RANGEBASED AND RANGE FREE ENVIRONMENTS

Abstract

Optimization of node localization to check the mobility of network in interior and exterior environment is a need of getting security concern nowadays in the entire world. UWB-based WSN network is one of the better choices where regular network issues are raising. In this context, accuracy is key in finding the exact node location with a low error rate. Network topology is increasing its criteria daily, and algorithms with accuracy become research criteria in both environments. The present work is a comparative study on enhanced algorithms with PSO-based optimization techniques of different methods. The proposed algorithm results are compared with the literature on different algorithms to verify the decrement in localization error. Ensemble and back-propagation techniques added with PSO gave good results compared to regular PSO methods discussed.