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Target tracking is an important application of wireless sensor networks. We propose an online energy efficient collaborative data processing-based target tracking in wireless sensor networks. The novelty of the proposed method is that tracking is performed in a collaborative manner by different cluster heads. On the contrary, in traditional approaches, the base station is responsible for tracking of the targets. Thus, we can achieve real time energy efficient target tracking and the simulation results show that the proposed technique reduces the energy consumption by at least 10% as compared to the conventional techniques used in wireless sensor network. We also perform the memory analysis for our proposed technique and it is found that the memory requirements of our proposed approach fall within the memory constraints of the motes.
Date of Conference: 18-25 July 2010