A fuzzy based method for developing fault tolerance in mobile sensor network

Faults occurring to sensor nodes are common due to the sensors limitations and the harsh environment sensor networks. The fault sensors lowest effect in network efficiency or in others word sensor network has fault tolerance. In this paper is studied the fault tolerance problem from the coverage point of view for sensor networks. In the proposed methods missing regions with faulty sensors recoup by its neighbors and using minimum redundant sensors. After, a sensor node becomes fault, coverage loss caused covered by its neighbors moving to failure node. Major problem elected neighbor node for movement, the priority of neighbor nodes for movement and coverage missing regions determines overlapping sensing range and its distance from faulty node. In purposed method priority of neighbors determine by fuzzy logic. The purposed fuzzy system has two inputs overlapping and distance, and its output is priority of neighbors. The target of proposed method is decrement redundant sensors for replacement faulty sensors in network sensor. The propose method compared with previous methods which used only from redundant sensors. The comparison show purposed method improved number redundant sensor used and movement sensors.