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Journal of Engineering and Applied Sciences
Year: 2018 | Volume: 13 | Issue: 11 | Page No.: 3927-3934
DOI: 10.36478/jeasci.2018.3927.3934  
Particle Swarm Optimization Based Approach for Reduction of Energy Consumption and Time Period in Wireless Sensor Network
R. Sivaranjani and A. Senthil Kumar
 
Abstract: During the previous decades, Wireless Sensor Networks (WSN) got ton of attraction from the scientific and industrial society. WSNs are composed of giant range of tiny resource affected devices recognized as sensors. Energy could be a important issue in WSN. Energy efficient cluster is an eminent improvement downside that has been studied extensively to prolong the lifespan of the network. This study demonstrates the programming formulation of this downside followed by a projected algorithmic program with Cat Swarm Optimisation (CSO) approach. The clustering technique is expressed by taking into thought of energy saving of nodes. The projected algorithmic program is experimented wide and results are evaluated with existing ways to point out their mastery in term of energetic nodes, energy out flow, packet delivery ratio and output of network. Simulation results shows that our projected algorithm outstrip the other existing algorithms of its class.
 
How to cite this article:
R. Sivaranjani and A. Senthil Kumar, 2018. Particle Swarm Optimization Based Approach for Reduction of Energy Consumption and Time Period in Wireless Sensor Network. Journal of Engineering and Applied Sciences, 13: 3927-3934.
DOI: 10.36478/jeasci.2018.3927.3934
URL: http://medwelljournals.com/abstract/?doi=jeasci.2018.3927.3934