UAV-Aided Information Collection Method Based on Joint Optimization of Node Access and Flight Strategy

UAV-aided communication can utilize the line-of-sight transmission and strong mobility of UAVs to achieve efficient information collection for IoT nodes. However, in scenarios where IoT devices are sparsely distributed and small to medium data volumes are uploaded, the proportion of UAV flight energy consumption increases and the energy efficiency is low. To this end, a UAV-aided information collection method based on joint optimization of node access and flight strategy is proposed. The cost function is minimized by optimizing the speed of UAV, the average flight time and the access selection of IoT nodes. And the cost function consists of UAV energy consumption and total mission time. In order to effectively solve the non-convex term in the original optimization problem, the convex relaxation and successive convex approximation (SCA) technique is used to transform it into a mixed integer disciplined convex program (MIDCP), and an iterative algorithm is de-signed to solve this problem. The simulation results show that the proposed method can reduce the energy consumption and mission time of the UAV under the premise of ensuring the integrity of node information collection.