Track and resource optimization method in unmanned aerial vehicle auxiliary sensor network

Abstract

The invention discloses a track and resource optimization method in an unmanned aerial vehicle auxiliary sensor network, and belongs to the field of unmanned aerial vehicle communication. Firstly, anunmanned aerial vehicle auxiliary sensor network scene is constructed, energy collection models of an unmanned aerial vehicle and a sensor are established in each time slot, and the receiving signal-to-noise ratio and the communication interruption probability of the unmanned aerial vehicle and a base station in the time slot i are calculated under the condition that the total emission energy consumption of the unmanned aerial vehicle and the sensor is met. Summing and averaging all interruption probabilities corresponding to the N time slots, and calculating an optimization target model whenthe average interruption probability is minimum and each satisfied constraint condition; and finally, optimizing the optimization target model under the condition of meeting the constraint to obtain acorresponding unmanned aerial vehicle trajectory, time slot allocation and power allocation, and realizing allocation of an optimization scheme by the unmanned aerial vehicle auxiliary sensor networkscene according to the optimized unmanned aerial vehicle trajectory, time slot allocation and power allocation. According to the invention, sustainable energy supply is provided for the unmanned aerial vehicle and the sensor, and the average outage probability is reduced.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle communication, and specifically refers to a trajectory and resource optimization method in an unmanned aerial vehicle-assisted sensor network. Background technique [0002] With the continuous development of communication technology and electronic technology, sensor network has become an important research content of mobile communication and an important part of the Internet of Things. However, the sensor is usually powered by batteries, and the communication quality cannot be guaranteed when the distance from the cellular network is long, and the communication life of the sensor is limited by energy. [0003] In the past few years, unmanned aerial vehicles (unmanned aerial vehicles, UAVs) cooperate with ground nodes to provide mobile communication services and become a research hotspot in the field of wireless communication. By being equipped with communication and processing modules, the ...

AI Technical Summary

Problems solved by technology

But on the one hand, the research on the introduction of wireless energy transfer technology focuses on point-to-point communication or the static deployment of UAVs, while ignoring the network scenario of UAVs moving under multi-sensor

On the other hand, UAV-assisted sensor networks usually use UAVs to power the sensors, ignoring the energy demand of UAVs.

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