WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR REDUCING ENERGY CONSUMPTION
International Journal of Managing Information Technology (IJMIT)
ISSN: 0975-5586 (Online); 0975-5926 (Print)
Article:
WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR REDUCING ENERGY CONSUMPTION
Authors
Amin Rostami1and Mohammad Hossin Mottar2
1Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows , Iran.
2Department of Computer Engineering, Mashhad Branch, Islamic Azad
1Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows , Iran.
2Department of Computer Engineering, Mashhad Branch, Islamic Azad
Abstract
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality. The most important issue in this type of networks is energy constraints. In this area several researches have been done from which clustering is one of the most effective solutions. The goal of clustering is to divide network into sections each of which has a cluster head (CH). The task of cluster heads collection, data aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF, PSO-MV) in terms of network lifetime and energy consumption.
Keywords
Wireless sensor networks, clustering, Energy efficient protocols, Particles Swarm optimization algorithm, Centralized algorithms.
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