Adaptive Scheduling with Fault Tolerance for Wireless Sensor Networks

This paper describes an energy efficient scheduling algorithm with adaptive fault tolerance for clustered mobile wireless sensor networks. This algorithm equalizes the cluster lifetime by making the total energy stored in the clusters proportional to their power consumption. It is proposed to relocate, in an optimized way, redundant sensors using cascaded movement to achieve optimal connectivity and coverage of the network. Simulation results confirm that our proposed scheme outperforms other existing techniques such as LEACH and M-GEAR and show that it achieves better performances in terms of lifetime by balancing the energy load among all the nodes.