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The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) hasled them to be the most popular choice in ubiquitous computing. Clusteringsensor nodes organizing them hierarchically have proven to be an effectivemethod to provide better data aggregation and scalability for the sensornetwork while conserving limited energy. It has some limitation in energy andmobility of nodes. In this paper we propose a mobility prediction techniquewhich tries overcoming above mentioned problems and improves the life time ofthe network. The technique used here is Exponential Moving Average for onlineupdates of nodal contact probability in cluster based network.

Improved Fair-Zone technique using Mobility Prediction in WSN