Title Of Paper:
A New Intelligent Cluster Head Selection Method for Mobile Wireless Sensor Networks
Author's Name :  MajidGhorbanJannat, Reza Javidan,Ahmad jalili
KeyWords:  Wireless sensor networks, Artificial Neural Networks, Clustering, Energy management, LEACH.
Pages:  1 -9
Volume: 4
Issue: 1
Year: 2015

One of the most important methods for energy consumption reduction in Wireless Sensor Networks (WSNs) is clustering. In this respect, cluster head selection method can highly impact on energy saving in the overall network. In mobile scenarios, for gathering environmental information as an example, due to natural barriers in operational environment, topology isn’t fixed and changes continuously. Therefore, cluster head selection can be adapted based on physical location of sensors. This means that the nodes with fewer barriers in front of them are better to be selected for cluster head. The traditional and statistical methods can’t consider the topology of network dynamically. In this paper a new intelligent method based on Artificial Neural Network (ANN) is proposed in order to reduce energy consumption and increase the network performance by choosing the cluster head based on residual energy of nodes and physical positions of them (topology). In this method, at first the positions of nodes mapped to a 2D pattern; then this pattern feeds into ANN that has previously trained and as the output of ANN the best CH position is suggested. The proposed method is compared with the Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm and the results show that it outperforms LEACH method especially when the nodes are mobile.

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