Performance Evaluation of Genetic Based Dynamic Clustering Algorithm over LEACH Algorithm for Wireless Sensor Networks
D. Srinivasa Rao1, B. J. M. Ravi Kumar2
1D. Srinivasa Rao., Department of Computer Applications, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, (Andhra Pradesh), India.
2B. J. M. Ravi Kumar, Department of Computer Applications, Kaushik College of Engineering, Visakhapatnam, (Andhra Pradesh), India.
Manuscript received on August 22, 2011. | Revised Manuscript received on August 31, 2011. | Manuscript published on September 05, 2011. | PP: 233-236 | Volume-1 Issue-4, September 2011. | Retrieval Number: D0132081411/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A wireless sensor network (WSN) is a wireless computing devices network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, motion, intrusion or pollutants, at different locations. The purpose of designing these networks is gathering information from the environment and sending them to the sink node. One of the most important issues in these kinds of networks is energy efficiency. The longer the communication distance, the more energy will be consumed during transmission. So, clustering is a way to reduce energy consumption. In this paper, we propose a dynamic clustering algorithm using genetic algorithm. This algorithm takes different parameters into consideration to increase the network lifetime. The results of the conducted simulations show the high efficiency of the proposed algorithm.
Keywords: Wireless Sensor Networks, Clustering, Genetic algorithm, Energy Consumption.