Table of Contents
ISRN Sensor Networks
Volume 2012 (2012), Article ID 375026, 10 pages
http://dx.doi.org/10.5402/2012/375026
Review Article

Comparison of Residual Energy-Based Clustering Algorithms for Wireless Sensor Network

Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, India

Received 20 June 2012; Accepted 12 September 2012

Academic Editors: M. Brandl, C. Elosua, and A. Song

Copyright © 2012 Asis Kumar Tripathy and Suchismita Chinara. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Wireless sensor network swears an exceptional fine-grained interface between the virtual and physical worlds. The clustering algorithm is a kind of key technique used to reduce energy consumption. Many clustering, power management, and data dissemination protocols have been specifically designed for wireless sensor network (WSN) where energy awareness is an essential design issue. Each clustering algorithm is composed of three phases cluster head (CH) selection, the setup phase, and steady state phase. The hot point in these algorithms is the cluster head selection. The focus, however, has been given to the residual energy-based clustering protocols which might differ depending on the application and network architecture. In this paper, a survey of the state-of-the-art clustering techniques in WSNs has been compared to find the merits and demerits among themselves. It has been assumed that the sensor nodes are randomly distributed and are not mobile, the coordinates of the base station (BS) and the dimensions of the sensor field are known.