Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs

Because wireless sensor networks (WSNs) have low-constrained batteries, optimizing the network lifetime is a primary challenge. Rechargeable batteries are solution to prolong of node instead restricting their functionalities save energy. Wireless energy transmitters added benefit providing charger for nodes in WSN. However, scheduling one or more charging vehicles efficiently recharge multiple challenging. In this context, paper provides using vehicle WSNs through mixed linear programming approach. Initially, we identify heuristic value each based on residual energy, distance from vehicle, available data packets, and other metrics. Further, set recharged by identifying best lifetimes, as well whole. We simulated proposed approach Python simulator, tested different performance metrics, compared recently published works. notice superior work under various metrics time query-driven WSNs.