Data fusion algorithms in cluster-based wireless sensor networks using fuzzy logic theory

Abstract

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.