Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm

Abstract

A wireless sensor network is a collection of nodes organized in a cooperative environment. Node localization plays a vital role in many applications. Conventional location detection techniques such as global positioning system (GPS) and infrared are expensive to find the location node. This paper proposes the use of a genetic algorithm (GA) to learn the environment impairments within a wireless sensor network with the purpose of localization for data management. Hence, in this paper, we have presented an efficient and dynamic Genetic algorithm with help of receiving signal strength indicator (RSSI) which gives the optimal node location value with minimal localization error. Our simulation modeled in MATLAB 7.0 shows that the dynamic GA can achieve acceptable node location detection with the aid of three anchors. The simulation results represent th

Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks

“…Range-free localization approaches do not need range data among ANs and target nodes (TNs) but rely on topological data [9]. The range-based method provides a higher accuracy as compared to range-free localization techniques; however, it is not very cost effective [10]. The range-based localization of SNs is achieved using two stages, namely ranging and position estimation stages.…”