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A Continuous Coverage Method Based on Self-Organizing Optimal Collaboration in UAV Networks

A self-organizing technology for unmanned aerial vehicles, applied in the field of unmanned aerial vehicle networks, can solve the problems of increasing unmanned aerial vehicles' driving energy consumption and collecting energy consumption, so as to ensure continuous coverage requirements, optimize path trajectory, and minimize system energy consumption Effect

Active Publication Date: 2021-09-21
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method additionally increases the driving energy consumption and collection energy consumption of a UAV, and puts pressure on the macro base station

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  • A Continuous Coverage Method Based on Self-Organizing Optimal Collaboration in UAV Networks
  • A Continuous Coverage Method Based on Self-Organizing Optimal Collaboration in UAV Networks
  • A Continuous Coverage Method Based on Self-Organizing Optimal Collaboration in UAV Networks

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Embodiment Construction

[0026] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0027]When the existing drones are statically deployed with auxiliary base stations for communication, an additional drone is used to collect the energy of each drone base station and transmit it to the macro base station to solve the coverage problem of the drone base station, which increases additional Energy consumption of UAVs; at the same time, in the network where UAVs are statically deployed to assist base station communication, the energy consumption of UAVs is not considered, the communication between UAVs is not considered, and the communication between UAVs is not considered. Inter-communication obtains the load status of other nodes and reduces communication delay. However, the continuous coverage method based on self-organization optimization cooperation in the UAV network provided by the present invention solves the most obvious energy d...

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Abstract

The invention provides a continuous coverage method based on self-organization optimization cooperation in the UAV network, which is used in the static auxiliary base station network of the UAV. The method of the present invention includes: when the remaining power of the stationary UAV base station reaches the threshold value, the information such as power consumption and service user location is returned to the macro base station according to the optimized relay information transmission path; the macro base station dispatches a new UAV according to the optimized relay information transmission path. The flight path flies to the target location, replaces the drone with insufficient power, and the drone with insufficient power goes to the base station to replenish power; the invention jointly optimizes the relay information transmission path and the flight trajectory of the drone to minimize the energy consumption of the overall system. By adopting the method of the invention, while ensuring the continuous coverage requirement of the UAV base station, the energy consumption of the UAV is greatly saved, so that the limited battery power of the UAV is no longer a constraint on the service time of the UAV.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle network, in particular to a continuous coverage technology based on self-organization optimization cooperation in the unmanned aerial vehicle network. Background technique [0002] In recent years, unmanned aerial vehicle (UAV) has received extensive attention due to its advantages of high flexibility and low cost. With the rapid development of UAV-assisted networks, UAV-based applications are becoming more and more diverse, such as UAVs assisting base stations in communication, transmitting information as relays, and collecting information as sensors. The mobility of drones allows it to be deployed quickly, provide ubiquitous communication, and improve coverage capabilities. However, the most obvious defect of drones is still the energy problem. The battery life is too short to complete long-term tasks. [0003] The characteristics of drones make it more suitable for distributed ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/185H04W16/18
CPCH04B7/18506H04W16/18Y02D30/70
Inventor 张鹤立张祎纪红李曦
Owner BEIJING UNIV OF POSTS & TELECOMM