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Wireless sensor networks (WSNs) suffers from the hot spot problem where thesensor nodes closest to the base station are need to relay more packet than thenodes farther away from the base station. Thus, lifetime of sensory networkdepends on these closest nodes. Clustering methods are used to extend thelifetime of a wireless sensor network. However, current clustering algorithmsusually utilize two techniques; selecting cluster heads with more residualenergy, and rotating cluster heads periodically to distribute the energyconsumption among nodes in each cluster and lengthen the network lifetime. Mostof the algorithms use random selection for selecting the cluster heads. Here,we propose a novel trajectory clustering technique for selecting the clusterheads in WSNs. Our algorithm selects the cluster heads based on traffic androtates periodically. It provides the first trajectory based clusteringtechnique for selecting the cluster heads and to extenuate the hot spot problemby prolonging the network lifetime.

A Novel Trajectory Clustering technique for selecting cluster heads in Wireless Sensor Networks