Malfunctioning Node Detection of Load-Balanced Data Aggregation Tree in Probabilistic Wireless Sensor Networks

In wireless sensor networks sensor nodes periodically sense the monitored environment and send the information to the sink at which the gathered or collected information can be further processed for end-user queries. Data gathering trees capable of performing aggregation operations are also referred to as Data Aggregation Trees which are directed trees rooted at the sink and have a unique directed path from each node to the sink. To maintain the high standard of Wireless sensor network, observation of malfunctioning sensor node is mandatory. The failure of the sensor node is either because of transmission device fault, environment condition and sensor device related problems. To identify the failed sensor node manually in such circumstance is troublesome. The Efficient malfunctioning node detection algorithm presents a new method to detect the sensor node failure or malfunctioning in such circumstance. The proposed work uses the round trip delay time to estimate the confidence factor of Round Trip Delay path. Based on the conviction factor the failed or malfunctioning sensor node is detected. The detection time of proposed method to detect faulty sensor node is in the range of few seconds.