PSOEEC : Optimization of Energy Efficient Clustering by Particle Swarm Optimization(PSO) for Internet of Things(IoT) Applications

Authors

  • Voore Subba Rao  Department of CSE, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, India
  • Dr. S.K. Tyagi   Department of CSE, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, India

Keywords:

Clustering, Cluster Head, Internet of Things, Particle Swarm Optimization, Sensor node, Network lifetime.

Abstract

Clustering is an wireless network approach formed with sensing nodes are placed in an area for monitoring the physical objects to perform applications of temperature, health care, environment monitoring and agriculture. The sensor nodes are equipped with less energy with re-chargeable battery support for that life of sensors are limited period for that its challenging task to perform communication, operations with other nodes in a network. It is essential to implement an algorithm for enhance better efficiency of sensor nodes for energy conservation. In this paper optimization of clustering, cluster head selection implement by Particle Swarm Optimization(PSO) based Energy Efficient Clustering (PSOEEC) algorithm for better clustering approach in Internet of Things applications. This algorithm will improves power consumption and network lifetime

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2014-12-30

Issue

Volume 1, Issue 1, -2014

Section

Research Articles

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Copyright (c) IJSRSET

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How to Cite

[1]
Voore Subba Rao, Dr. S.K. Tyagi , " PSOEEC : Optimization of Energy Efficient Clustering by Particle Swarm Optimization(PSO) for Internet of Things(IoT) Applications , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.248-257, -2014.