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In WSN most of the target detection and tracking algorithms require the sensors to work in groups in order to advance the consistency of target tracking algorithms. This makes it necessary for deploying sensors to discover and group together so that their coverage can be maximized. In this study we have proposed a distributed clustering algorithm for effectively detecting the Target location. The proposed clustering algorithm is distributed in nature and has the ability to reconfigure in the event of node failure. The algorithm is highly localized and hence does not need flooding across the entire network. Since the algorithm allows for more clusters to track the same region the system reliability is greatly improved. The algorithm builds a series of over-lapping clusters which allow for more than one cluster to track a region. This redundancy improves the overall system reliability. The overlapping clusters also allow for tracking of curvilinear targets.

Reliable and Energy Efficient Distributed Clustering based Target Tracking Technique for Wireless Sensor Networks