Data Fusion Algorithms in Cluster-based Wireless Sensor Networks sing Fuzzy Logic Theory

Author:Su, W., & Bougiouklis, T. C

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.

Keywords:Data fusion, redundancy, fuzzy logic, aggregation, throughput

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Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems