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

An auxiliary sensor and resource optimization technology, applied in the field of UAV communication, can solve the problems of ignoring the energy requirements of UAVs, ignoring the mobile network scenarios of UAVs, etc.

Active Publication Date: 2020-04-21
BEIJING UNIV OF POSTS & TELECOMM
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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 ignori

Method used

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

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Embodiment

[0202] In the simulation scenario in this embodiment, it is assumed that there are 5 sensors randomly distributed in an area of ​​100mx 100m, the height of the BS is 30m, and it is located at the origin of the coordinate system. The charging piles are distributed at the centroid of the sensor with a height of 20m. Simulation results compare the proposed scheme with resource allocation algorithms under circular trajectories. In the comparison algorithm, the UAV takes the midpoint of the base station and the charging pile as the center, flies in a circular trajectory with a radius of 20m, and optimizes the time slot allocation and power allocation. Among them, in order to optimize the energy collection efficiency of the UAV, the UAV uses h altitude flight. The parameter settings in the simulation process are shown in Table 1.

[0203] Table 1

[0204] parameter value Path loss coefficient α -40dB The maximum movement distance of the UAV in the time slo...

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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 ...

Claims

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Application Information

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IPC IPC(8): H04W4/029H04W4/38H04W24/02H04W52/34H04W52/46H04W72/04H04W84/18
CPCH04W4/029H04W4/38H04W24/02H04W52/346H04W52/46H04W72/0446H04W84/18
Inventor 李曦陈淑颖纪红张鹤立
Owner BEIJING UNIV OF POSTS & TELECOMM
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