An energy efficient and optimized load balanced localization method using CDS with one-hop neighbourhood and genetic algorithm in WSNs

Localization has always been a research concern in the domain of wireless sensor networks. The varying range of its applications has given it a wide acceptability along with the need of accuracy of the location estimation. A number of algorithms has been introduced for the purpose. While developing such algorithms, the concern of network lifetime has received a setback as wireless sensor networks are always resource constrained. The proposed algorithm balances the computational load among anchor nodes for location calculation of unknown nodes. Moreover the algorithm has been optimized using genetic algorithm. The optimized backbone is used to locate the unknown nodes. The simulation results show that our algorithm significantly improves the network lifetime as the computational load has been distributed efficiently among the anchor nodes.