Efficient Two Dimensional Node Localization using Genetic Algorithm in Wireless Sensor Network |
Author(s): |
| Preety Saini , JMIT, Radaur, Haryana, India; Rajiv Bansal, JMIT, Radaur, Haryana, India |
Keywords: |
| WSN, Localization, Range based, Optimization, Genetic Algorithm (GA) |
Abstract |
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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. The aim of this paper is to reduce error in location estimation and convergence speed in two dimensional coordinate system. The proposed 2DL-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. Fitness function is designed based on distances between anchor and non-anchor nodes. The Uniform crossover and improved neighborhood mutation operator are applied. Simulation result shows that the two dimensional (2DL-RAGA) algorithm shows less average error than previous algorithm and algorithm shows faster convergence. |
Other Details |
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Paper ID: IJSRDV3I31220 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 2437-2443 |
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