Highly Distributed and Energy Efficient Clustering Algorithm for Wireless Sensor Networks

International Journal of Research - Granthaalayah, Vol. 4, No. 9, p. 30-38, 2016

Posted: 1 Dec 2016

See all articles by Boselin Prabhu

Boselin Prabhu

VSB College of Engineering

N. Balakumar

Tamil Nadu College of Engineering - Department of Electrical & Electronics Engineering

Multiple version iconThere are 2 versions of this paper

Date Written: November 24, 2016

Abstract

Wireless sensor network (WSN) is a low-powered prestigious network fashioned by sensor nodes that treasures application in civilian, military, visual sense models and many others. Reduced energy utilization is an exigent task for these sensor networks. By the data aggregation procedure, needless communication between sensor nodes, cluster head and the base station is eluded. An evaluation of energy efficient optical low energy adaptive clustering hierarchy has been performed and the enactments have been compared with the prevailing low energy adaptive clustering hierarchy algorithm, between two detached wireless sensor network fields. The proposed clustering procedure has been primarily implemented to join two distinct wireless sensor fields. An optical fiber is used to join two reserved wireless sensor fields. This distributed clustering methodology chiefly targets in exploiting the parameters like network lifetime, throughput and energy efficiency of the whole wireless sensor system.

Keywords: Distributed Clustering Algorithm, Energy Efficiency, Wireless Sensor Network, Clustering, Network Lifetime

Suggested Citation

Prabhu, S.R.Boselin and Balakumar, N., Highly Distributed and Energy Efficient Clustering Algorithm for Wireless Sensor Networks (November 24, 2016). International Journal of Research - Granthaalayah, Vol. 4, No. 9, p. 30-38, 2016. Available at SSRN: https://ssrn.com/abstract=2875390

S.R.Boselin Prabhu (Contact Author)

VSB College of Engineering ( email )

Coimbatore, Tamil Nadu
India

N. Balakumar

Tamil Nadu College of Engineering - Department of Electrical & Electronics Engineering ( email )

Palanisame Ravi Nagar
Tamil, Nadu 641659
India

Register to save articles to
your library

Register

Paper statistics

Abstract Views
105
PlumX Metrics