An Efficient Charging Algorithm for UAV-aided Wireless Sensor Networks

Limited battery capacity is one of the most critical factors which limits the development of wireless sensor networks (WSN). In recent years, breakthrough in the field of wireless energy transmission and rechargeable batteries have provided an opportunity for the development of WSN. In tis paper, UAVs with large-capacity batteries can be used as a mobile charger to transmit energy to sensor nodes. At the same time, we proposed a route algorithm for UAVs with controllability and obstacle avoidance characteristics, which can replenish energy for seniors in WSN. Given that the sensor will run out of energy. In the case of not being charged in time, the sensor can be charged by UAVs with the help of wireless charging technology. In order to minimize the dead node in the WSN and maximize the energy efficiency in the charging process, we built a mathematical model which can realize our goal. Compared with NJNP, we prove the validity and rationality of our algorithm.