UAV-assisted 3D Trajectory Planning and Data Collection in Wireless Powered IoT

Abstract

Most existing data collection schemes for UAV-assisted IoT focus on optimizing energy consumption or data collection throughput, ignoring data freshness. In this paper, a data collection scheme for minimizing the average information age in UAV-assisted wireless powered IoT is investigated using age of information (AoI) as a performance metric. Since the average AoI depends on the trajectory of the UAV, the time of energy harvesting and data collection at sensor nodes (SN), these factors need to be jointly optimized. Considering the complexity of the problem, we decompose it into two sub-problems, the energy transmission and data collection time allocation problem and the UAV 3D trajectory planning problem without losing optimality. The simulation results show that this scheme can obtain better performance compared with other schemes.