Data Fusion Algorithms in Cluster-basedWireless Sensor Networks Using Fuzzy Logic Theory
Bougiouklis, Theodoros C.
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Data Fusion in wireless sensor networks (WSNs) can improve the performance of a network by eliminating redundancy and power consumption, ensuring fault-tolerance between sensors, and managing effectively the available communication bandwidth between network components. In this paper, we develop a data fusion algorithm that combines the cluster-based design of WSNs using fuzzy logic methods. Our results show that the algorithm eliminates redundant sensor reports.