PARTICLE SWARM OPTIMIZATION BASED LEACH CLUSTERING ALGORITHM IN WSN

Authors

  • Harmaninder Jit Singh Sidhu, Nishant Kumar Pathak

Abstract

Wireless Sensor Network (WSN) are comprising of different sensor hubs with the aim ofhoard data from their ecological factors and send them to the end clients since they containa lesser amount of battery framework. To swell the life span of succession, we need to propose and actualize different techniques that will build the life span of a system. A large portion of these new procedures and techniques depend on grouping and furthermore dependent on directing calculation. In view of Clustering and directing calculation, the system will be more steady and effective. The low vitality versatile bunching chain of importance calculation is the principle calculation where every single one hubs present inside a group hurl their in sequence to the locality group head. The term MS (moveable sink) is utilized in this paper, which decreases the vitality consumption and RN(rendezvous nodes)is utilized which go about as a store point for the versatile sink. In this paper, we are utilizing the molecule swarm improvement calculation in favor of the steering, which upgrades the system life span of a system.

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Published

2020-11-02

How to Cite

Harmaninder Jit Singh Sidhu, Nishant Kumar Pathak. (2020). PARTICLE SWARM OPTIMIZATION BASED LEACH CLUSTERING ALGORITHM IN WSN. PalArch’s Journal of Archaeology of Egypt Egyptology, 17(6), 13268–13275. Retrieved from https://www.archives.palarch.nl/index.php/jae/article/view/3505