Unmanned aerial vehicle auxiliary wireless sensor network and node scheduling and flight parameter design method thereof

Abstract

The invention discloses an unmanned aerial vehicle auxiliary wireless sensor network and node scheduling and flight parameter design method thereof, and belongs to the wireless technical field of thewireless communication and internet of things. The unmanned aerial vehicle auxiliary wireless sensor network comprises an unmanned aerial vehicle air base station and K single-antenna ground terminalnodes; the unmanned aerial vehicle air base station performs movement according to an optimized path, speed and acceleration and like flight parameters at the specified flight time; at each flight moment, the unmanned aerial vehicle base station sends data to a scheduled ground terminal node, and only communicates with one terminal node at each moment. Through the method disclosed by the invention, the system energy efficiency maximization is used as the target, and a terminal node scheduling policy and unmanned aerial vehicle flight path, the flight speed and the acceleration are used as theoptimization variable, so that a mathematical model is established in consideration of the unmanned aerial vehicle maximum flight speed, the maximum acceleration and the uniform acceleration, the terminal node data transmission rate fairness and like conditions, thereby solving to obtain a suboptimal terminal node scheduling and unmanned aerial vehicle parameter solution.

Description

technical field [0001] The invention belongs to the technical fields of wireless communication technology and the Internet of Things, and in particular relates to a UAV-assisted wireless sensor network based on energy efficiency maximization and its node scheduling and flight parameter design methods. Background technique [0002] The rapid development of UAV (Unmanned Aerial Vehicle, UAV) technology has attracted more and more attention from industries related to aerial mobile platform applications. UAV applications have penetrated from the initial military special field to a wider range of industrial and civilian fields, such as road traffic management, forest fire monitoring, disaster epidemic monitoring, UAV logistics distribution, relay emergency communication, hotspot area base stations load balancing etc. Utilizing the three-dimensional space high-speed mobility and wireless link backhaul characteristics of UAVs, equipped with advanced transceivers and intelligent se...

AI Technical Summary

Problems solved by technology

In particular, the energy load of the UAV base station is limited. How to meet the data transmission rate requirements from the UAV base station to the terminal node within a certain period of time, including the data transmission rate fairness requirements of each node, and reduce the Power consumption, the energy efficiency criterion (ratio of transmission rate to power consumption), is an important issue for UAV-assisted wireless sensor networks, which has not been tackled by researchers

In order to improve the energy efficiency performance of UAV base station communication with ground terminal nodes during flight, we propose an optimization model based on system energy efficiency maximization for UAV base station flight parameters and terminal node scheduling. Since the optimization model is a distribution of mixed integer variables The form of the problem is non-convex, so the solution process is very difficult

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