Table of Contents
ISRN Sensor Networks
Volume 2013, Article ID 909086, 8 pages
Research Article

Cluster Head Selection in Wireless Sensor Networks under Fuzzy Environment

1Department of Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi 110058, India
2School of Information & Communication Technology, Gautam Buddha University, Greater Noida, Gautam Budh Nagar, Uttar Pradesh 201308, India

Received 29 December 2012; Accepted 21 January 2013

Academic Editors: P. N. Pathirana, G. Yan, and C. W. Yu

Copyright © 2013 Puneet Azad and Vidushi Sharma. 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.


Clustering is one of the important methods for prolonging the network lifetime in wireless sensor networks (WSNs). It involves grouping of sensor nodes into clusters and electing cluster heads (CHs) for all the clusters. CHs collect the data from respective cluster’s nodes and forward the aggregated data to base station. A major challenge in WSNs is to select appropriate cluster heads. In this paper, we present a fuzzy decision-making approach for the selection of cluster heads. Fuzzy multiple attribute decision-making (MADM) approach is used to select CHs using three criteria including residual energy, number of neighbors, and the distance from the base station of the nodes. The simulation results demonstrate that this approach is more effective in prolonging the network lifetime than the distributed hierarchical agglomerative clustering (DHAC) protocol in homogeneous environments.