Research Article
Clusterhead Selection Using Multiple Attribute Decision Making (MADM) Approach in Wireless Sensor Networks
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@INPROCEEDINGS{10.1007/978-3-642-37949-9_12, author={Puneet Azad and Vidushi Sharma}, title={Clusterhead Selection Using Multiple Attribute Decision Making (MADM) Approach in Wireless Sensor Networks}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers}, proceedings_a={QSHINE}, year={2013}, month={7}, keywords={Wireless Sensor Networks Clustering TOPSIS Optimum}, doi={10.1007/978-3-642-37949-9_12} }- Puneet Azad
Vidushi Sharma
Year: 2013
Clusterhead Selection Using Multiple Attribute Decision Making (MADM) Approach in Wireless Sensor Networks
QSHINE
Springer
DOI: 10.1007/978-3-642-37949-9_12
Abstract
Cluster head (CH) plays an important role in aggregating and forwarding data in a wireless sensor networks (WSNs). The major challenge in WSNs is an appropriate selection of cluster heads for gathering data from nodes. In this paper, we present a multi-criterion approach for the selection of cluster heads (CHs) using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Three attributes are considered for the selection of CHs, namely residual energy, number of neighbors and distance from the base station. The simulation results demonstrate that the present approach is more effective than another Low-energy Adaptive Cluster Hierarchy (LEACH) protocol in prolonging the network lifetime.
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