ANovel 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 environmental incidents. Each of these nodes includes sensor, processor, communication components (antenna), small memory, and a source of energy. In wireless sensor networks’ applications, faulty nodes always cause crucial problems and error in the network. For example, failure of some nodes may pull some parts of network into isolation, or in a worse case, the entire network may stop working, or decision about the occurrence of events may be corrupted. This paper proposes a new method to detect faulty nodes in the WSN using fuzzy logic and majority voting technique. By using the attributes of the fuzzy logic like interpretation, 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 the network and in each sub-network. Using the calculated ratio and an effective decision making system such as majority voting is used to detect the faulty node in WSN. Using this effective method increases the percentage of detecting faulty nodes, which resulted in decreasing computational complexity, end to end delay and energy consumption in WSN.

Wireless sensor networks, faulty node, fuzzy theory, majority voting