A NOVEL APPROACH FOR FAULTY NODE DETECTION WITH THE AID OF FUZZY THEORY AND MAJORITY VOTING IN WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSN) consist of many nodes that are usually created to identify environmentalincidents. Each of these nodes includes sensor, processor, communication components (antenna), smallmemory, and a source of energy. In wireless sensor networks’ applications, faulty nodes always causecrucial problems and error in the network. For example, failure of some nodes may pull some parts ofnetwork into isolation, or in a worse case, the entire network may stop working, or decision about theoccurrence of events may be corrupted. This paper proposes a new method to detect faulty nodes in theWSN using fuzzy logic and majority voting technique. By using the attributes of the fuzzy logic likeinterpretation, etc. in corporate majority voting technique can overcome the problem of faulty nodes,efficiently. In the proposed method, the fuzzy logic uses to identify the ratio of the faulty nodes in thenetwork and in each sub-network. Using the calculated ratio and an effective decision making system suchas majority voting is used to detect the faulty node in WSN. Using this effective method increases thepercentage of detecting faulty nodes, which resulted in decreasing computational complexity, end to enddelay and energy consumption in WSN.