Improved Particle Swarm Optimization for Energy Efficient Clustering and Routing of Wireless Sensor Networks
نویسندگان
چکیده
The focal inadequacy of modern wireless sensor networks is constrained energy resources of sensors. Therefore, Energy efficient clustering techniques and routing algorithms must be deployed to intensify the durability of wireless sensor networks. The research of an improved particle swarm optimization method for wireless sensor networks is presented in this paper. In order to conquer the inadequacy of the standard particle swarm optimization, improved means for clustering and routing are adopted. To demonstrate the efficiency of the proposed algorithm, a selected set of results are compared with the results of standard particle swarm optimization and genetic algorithm. Simulation outcome proves that the advanced capability of the proposed algorithm is more energy efficient and improved in the quality of service as compared to particle swarm optimization.
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