SINK REPOSITIONING OPTIMIZATION TECHNIQUE USING PARTICLE SWARM OPTIMIZATION IN WIRELESS SENSOR NETWORKS

Abstract

 In today’s wireless sensor networks mobile sinks plays an important role in data transmission and reception. Therefore it becomes very important to estimate the optimized position of the mobile sinks in order to improve the overall efficiency of the wireless sensor networks. In this paper, the particle swarm optimization technique has been used for the estimation of the position of the mobile sinks and its impact on the various performance factors of the wireless sensor network has been observed. The simulation result showed that finding the optimal location of the sink in the mobile environment improves the various performance parameters of the network thereby extending the overall lifetime of the network.

Authors and Affiliations

Ms. Prerana Shrivastava*

Keywords

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  • EP ID EP106990
  • DOI 10.5281/zenodo.54777
  • Views 72
  • Downloads 0

How To Cite

Ms. Prerana Shrivastava* (30).  SINK REPOSITIONING OPTIMIZATION TECHNIQUE USING PARTICLE SWARM OPTIMIZATION IN WIRELESS SENSOR NETWORKS. International Journal of Engineering Sciences & Research Technology, 5(6), 192-198. https://europub.co.uk/articles/-A-106990