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The Scientific World Journal
Volume 2014 (2014), Article ID 286575, 15 pages
Research Article

Genetic Algorithm Application in Optimization of Wireless Sensor Networks

Computer Engineering Department, Istanbul University, 34320 Istanbul, Turkey

Received 31 August 2013; Accepted 19 November 2013; Published 16 February 2014

Academic Editors: T. Chen, Q. Cheng, and J. Yang

Copyright © 2014 Ali Norouzi and A. Halim Zaim. 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.


There are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters. Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application. Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications and that the final formula can be modified by operators. The present survey tries to exert a comprehensive improvement in all operational stages of a WSN including node placement, network coverage, clustering, and data aggregation and achieve an ideal set of parameters of routing and application based WSN. Using genetic algorithm and based on the results of simulations in NS, a specific fitness function was achieved, optimized, and customized for all the operational stages of WSNs.