Path Planning and Control of Intelligent Delivery UAV Based on Internet of Things and Edge Computing

Abstract

This paper investigates the intelligent delivery UAV path planning and control problem based on the Internet of Things and edge computing, and proposes a novel model and algorithm to realize the collaborative optimization of the path planning and control of the UAV, which improves the intelligence level and flight efficiency of the UAV. In this paper, the mathematical model of UAV path planning and control is firstly established, the relationship and influencing factors among the elements of UAV, edge server, delivery task, path planning and control are analyzed, and the optimization objectives and constraints are proposed. Then, this paper designs an algorithmic framework for UAV path planning and control, using the support and guidance of edge computing to achieve the cooperative optimization of path planning and control of UAVs, taking into account the constraints and objectives of the UAVs themselves, as well as the synergy and competition between UAVs. Then, this paper proposes specific algorithms for UAV path planning and control, adopting methods such as metaheuristics, to solve the optimization problem of UAV path planning and control, and improve the intelligent level and flight performance of UAVs.