Abstract: Faults occurring to sensor nodes are common due to the limitation sensors 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 this paper priority of neighbors determine by two methods, in first method priority determines by an equation. It is included overlapping and distance but in second method priority of neighbors obtained by a fuzzy system with inputs overlapping and distance, and its output priority of neighbors. The target of proposed methods is decrement redundant sensors for replacement faulty sensors in network sensor. The propose methods compared with themselves and previous methods which used only from redundant sensors.