Energy sink-holes avoidance method based on fuzzy system in wireless sensor networks

The existence of a mobile sink for gathering data significantly extends wireless sensor networks (WSNs) lifetime. In recent years, variety efficient rendezvous points-based mobility approaches has been proposed avoiding the energy sink-holes problem nearby sink, diminishing buffer overflow sensors, and reducing latency. Nevertheless, lots research carried out to sort holes using controllable-based methods. However, further developments can be demonstrated achieved on such type management system. this paper, well-rounded strategy involving an energy-efficient routing protocol along with method is extirpate problem. This paper fused fuzzy A-star as mitigating consumption during forwarding novel which adopted grid partitioning system that takes account average residual energy, sensors density, traffic load, sources angles detect optimal next location sink. By utilizing diverse performance metrics, empirical analysis our work showed outstanding result compared in case static