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In a sensor network,data collected by different sensors are often correlated because they are observations of related phenomena.Efficient sensor data fusion is one of the most important issues in building real sensor networks.To balance energy cost,how to select a cluster head is a key problem that must be addressed.In this paper,we use a compression-centric data collection algorithm for use in wireless sensor networks.Also,we propose a balanced cluster head selection algorithm in each cluster.Simulation results are used to investigate the performance of the algorithm.Compared to the exhaustive search solutions,the proposed algorithm shows a significant improvement in power consumption.
In a sensor network, data collected by different sensors are often concerned because they are observations of related phenomena. Efficient sensor data fusion is one of the most important issues in building real sensor networks networks. Balance energy costs, how to select a cluster head is a key problem that must be addressed. In this paper, we use a compression-centric data collection algorithm for use in wireless sensor networks. Als, we propose a balanced cluster head selection algorithm in each cluster. Simulation results are used to investigate the performance of the algorithm. Compared to the exhaustive search solutions, the proposed algorithm shows a significant improvement in power consumption.