Data Fusion in wireless sensor networks (WSNs) can improve the performance of a network by eliminatingredundancy and power consumption, ensuring fault-tolerance between sensors, and managing effectivelythe available communication bandwidth between network components. In this paper, we develop a data fusionalgorithm that combines the cluster-based design of WSNs using fuzzy logic methods. Our results show that thealgorithm eliminates redundant sensor reports.
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