Energy efficiency optimization method for auxiliary backscatter communication system of multi-rotor unmanned aerial vehicle

Abstract

The invention discloses an energy efficiency optimization method for an auxiliary backscatter communication system of a multi-rotor unmanned aerial vehicle. The method comprises the following steps: enabling a multi-rotor unmanned aerial vehicle to serve as a mobile signal transmitter and a signal receiver, and enabling backscatter equipment to collect a signal transmitted by the multi-rotor unmanned aerial vehicle, and providing energy for the operation of the multi-rotor unmanned aerial vehicle; obtaining a system mathematical model and a communication channel model of the multi-rotor unmanned aerial vehicle and the backscatter equipment according to the position relation and the communication channel condition of the multi-rotor unmanned aerial vehicle and the backscatter equipment; calculating the distance and the energy loss rate between the multi-rotor unmanned aerial vehicle and the backscatter equipment according to the system mathematical model and the communication channel model, and obtaining a motion model and an energy consumption model of the multi-rotor unmanned aerial vehicle; and finally, under the constraint conditions of the signal-to-noise ratio and the throughput, adopting a clustering algorithm with constraints and a TSP problem solving algorithm to obtain the optimal flight path and the optimal energy efficiency of the multi-rotor unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an energy efficiency optimization method for a multi-rotor UAV-assisted backscatter communication system. Background technique [0002] The Internet of Things is the link connecting the physical world and the digital world, and a key enabling technology for ubiquitous perception and computing. The large-scale deployment of the Internet of Things is limited by sensor energy consumption, deployment and maintenance costs. Therefore, how to break through the shackles of the above constraints has become a common concern of academia and industry. Backscatter communication technology has become a breakthrough to break the limitation and promote the emergence of the passive Internet of Things because it enables the sensor to capture energy from the surrounding signal transmitter or the wireless signal of the environment for computing and communication without the need for...

AI Technical Summary

Problems solved by technology

The communication distance of the backscatter communication system is limited, and the distance between the receiver and the backscatter device must be kept within its communication range (on the order of hundreds of meters). Therefore, in large-scale IoT application scenarios, in order to cover all backscatter The number of equipment and receivers is likely to become extremely large, and the deployment of a large number of receivers will significantly increase the construction cost of the Internet of Things

Images