A Fuzzy Adaptive Multi-Featured and Zone Adaptive Method for Target Coverage in WSN

Sensor Network is real time network with specification of environment specific critical nodes. To provide the regular monitoring and uninterrupted battery backup, it is required to track the nodes continuously. In mobile sensor network, such kind of target node tracking is more critical. In this present work, multi-featured and fuzzy trained method is defined for target tracking. At the earlier phase, zone featured predictive measure is defined to track the nodes more accurately. Later on, energy, fault and coverage based analysis is defined to generate the coverset. The proposed model is implied in dynamic random sensor network. The simulation results show that the proposed method has improved the network life and reduced the coverage fault.