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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