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Wireless Sensor Networks (WSN) consist of hundreds or thousands tiny nodes called sensor that work together and are connected to each other in order to do some special tasks. Because of limited nodes energy supply, clustering structure is introduced to reduce energy consumption in WSN. Due to specific features of WSN, nodes are prone to failure so it is very important to detect faulty nodes in clustering structures. The authors use fuzzy logic, the network available data and cluster member nodes to propose a comprehensive method for detecting faulty nodes in the clustering. It will be demonstrated that the proposed method is marvelously more efficient than the existing methods in the literature.
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