Hybrid Distributed Clustering Model for Attaining Energy Efficiency

Asian Journal of Applied Science and Technology (AJAST), Volume 2, Issue 2, Pages 1161-1171, June 2018

11 Pages Posted: 24 Sep 2018

See all articles by E. Gajendran

E. Gajendran

Sree Dattha Group of Institutions - Department of Computer Science and Engineering

Date Written: June 24, 2018

Abstract

The cluster head will be chosen by the sensor nodes in the individual cluster or be pre-assigned by the user. The main advantages of clustering are the transmission of aggregated data to the base station, offers scalability for huge number of nodes and trims down energy consumption. Fundamentally, clustering could be classified into centralized clustering, distributed clustering and hybrid clustering. In centralized clustering, the cluster head is fixed. The rest of the nodes in the cluster act as member nodes. In distributed clustering, the cluster head is not fixed. The cluster head keeps on shifting form node to node within the cluster on the basis of some parameters. Hybrid clustering is the combination of both centralized clustering and distributed clustering mechanisms. This paper gives a brief overview on clustering process in wireless sensor networks. A research on the well evaluated distributed clustering algorithm Low Energy Adaptive Clustering Hierarchy (LEACH) and its followers are portrayed artistically. To overcome the drawbacks of these existing algorithms a hybrid distributed clustering model has been proposed for attaining energy efficiency to a larger scale.

Keywords: Wireless Sensor Network (WSN), Distributed Clustering Algorithm, Coverage Based Clustering, Energy Efficiency and Network Lifetime

Suggested Citation

Gajendran, E., Hybrid Distributed Clustering Model for Attaining Energy Efficiency (June 24, 2018). Asian Journal of Applied Science and Technology (AJAST), Volume 2, Issue 2, Pages 1161-1171, June 2018 , Available at SSRN: https://ssrn.com/abstract=3243745

E. Gajendran (Contact Author)

Sree Dattha Group of Institutions - Department of Computer Science and Engineering ( email )

Hyderabad
India

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