Energy Balancing and Path Plan Strategy for Rechargeable Underwater Sensor Network

To solve the problems of limited energy and hard to replace the battery in underwater wireless sensor networks, a routing plan, as well as an energy balancing strategy is proposed to charge the underwater sensor nodes by autonomous underwater vehicles (AUV). Based on the building of the flow balance constraint model and the power consumption model, an energy cycle optimization model is proposed to maximize the ratio of the break time to the total time of the AUV in one cycle, and the simulated annealing algorithm is used to solve the optimal path of the AUV. Simulation results show that the proposed scheme can extend the network lifetime while balancing the energy.
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