Air-Ground Integrated Simulation Modeling And Application

With the continuous improvement of human living standards,human’s daily activities have more and more impact on the environment.The frequent occurrence of environmental disasters makes it more and more practical to deploy the Internet of Things system to disaster prone areas.However,the vast wilderness also presents unfavorable conditions for the Internet of Things and sensor networks,which are generally chaotic and complex environments,lack of power supply,and dynamic and deep fading characteristics of wireless communications.The collaboration between the Internet of Things(IoT)and Unmanned Aerial Vehicles(UAV)has opened up new directions in monitoring environmental change and disasters.In order to better investigate the new cooperation between the Internet of Things and UAV,a solid foundation is laid for the creation of a new generation of intelligent,sustainable and highly reliable aerial and ground Internet of Things network through the construction of an air-ground simulation platform with real-time performance,diversity and testability.In order to realize the monitoring of environmental change and disaster,the air ground integrated simulation platform can provide effective theoretical basis and simulation technology support for environmental disaster prediction and mitigation of disasters caused by environmental disasters.In this paper,the motion model and energy consumption model of the four-rotor UAV are studied,and the energy consumption model is obtained according to the situation of the sensor,so as to provide the task planning and multi-objective energy consumption optimization of the UAV cluster execution task,which is applied to the research of the air-ground integration platform.The research work of this article is mainly carried out from the following three aspects:(1)As for the UAV model,this paper studies the 3D motion model and energy consumption model of the UAV based on the quadrotor UAV used in the simulation experiments,and carries out the data to fitting the energy consumption information of the UAV according to the measured data from the experiments and optimizes the energy consumption model,so as to provide reliable conditions for subsequent research.(2)To solve the problem of sensor energy consumption,this paper constructs the corresponding energy consumption model according to its working state to monitor the energy consumption change of sensor and proposes the pseudo-code implementation of the model.Finally,the process of sensor self-organizing network is discussed and analyzed.(3)In order to reduce the energy consumption of UAVs during flight,this paper proposes a solution idea of task area division and multi-objective energy consumption optimization based on clustering and improved particle swarm optimization(PSO)and Bspline curve,and optimizes the energy consumption problem of UAV swarm in air-ground integration.