A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks

Volume 7 Issue 1 November - January 2018

Survey Paper

A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks

Swagatika Pradhan*, Pawan Patnaik**, S.D. Mishra***

* PG Scholar, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

** Associate Professor, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

*** Assistant Professor, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

Pradhan, S., Patnaik, P., and Mishra, S. D. (2018). A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks. i-manager’s Journal on Communication Engineering and Systems, 7(1), 35-44.https://doi.org/10.26634/jcs.7.1.13963

Abstract

Wireless sensor networks (WSNs) have a large vary of applications as a result of they will be custom-made for a varied environment. WSNs consist of collection of sensor nodes which has limited processing power and restricted memory unit. Main task of this network is the reliable routing of packets from sensors to the base station (BS). WSNs operate severally in harsh places wherever a person’s presence is risky or perhaps not possible. Since their life time relies on their batteries and replacement and recharging these batteries is not possible in rough places, thus minimizing energy dissipation and increasing the network life period is the primary concern for the sensor networks. Nodes are basically stored in non-overlapping cluster to support scalability, energy efficiency and efficient routing. During this paper, we examine presently proposed clustering algorithms for WSNs. We are going to shortly discuss the operation of that algorithm, and also draw comparison on the performance between the various schemes. Specifically, we are going to examine the performance in term of power and quality aspect of those schemes. This paper ought to give the reader with a basis for analysis in clustering schemes for WSNs.