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 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.