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The Scientific World Journal
Volume 2015, Article ID 149767, 9 pages
Research Article

Novel Strategy to Improve the Performance of Localization in WSN

1Department of Electronics and Communication Engineering, Latha Mathavan Engineering College, Madurai, Tamil Nadu 625301, India
2Department of Electronics and Communication Engineering, K.L.N. College of Engineering, Sivagangai District, Pottapalayam, Tamil Nadu 630612, India

Received 9 April 2015; Revised 13 August 2015; Accepted 18 August 2015

Academic Editor: Long Cheng

Copyright © 2015 M. Vasim Babu and A. V. Ramprasad. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed. In our model the discrete hidden Markov process plays a major role in analyzing the node location in heterogeneous media. In this energy consumption model we use both static and dynamic sensor nodes to monitor the optimized energy of all sensor nodes in which every sensor state can be considered as the dynamic Bayesian network. By using this method the power is assigned in terms of dynamic manner to each sensor over discrete time steps to control the graphical structure of our network. The simulation and experiment result shows that our proposed methods are better in terms of localization accuracy and possess minimum computational time over existing localization method.