Efficient Three Dimensional Node Localization using Genetic Algorithm in Wireless Sensor Network

� Node localization that to be aware of the position of nodes is an essential part of wireless sensor network. One of the major requirement of localization in WSN is accuracy of location. Most of the work done is in two dimensional network. The aim of this paper is to reduce error in location estimation for3D coordinate system. The proposed 3DL-RAGA in this paper is range based and anchor based algorithm. Initial step of algorithm is optimal placement of anchor nodes by using k-means and then encodes the sensor node in real coding. The fitness function is designed based on distances between anchor and non-anchor nodes. The Uniform crossover and a new three dimensional neighborhood mutation operator are applied. Thethree dimensional (3DL-RAGA) GA based algorithm is first time implemented and simulation result shows that, it show less RMSE value than previous 3D algorithmand algorithm shows faster convergence.