The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance

The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary...

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Main Authors: Taifei Zhao, Hua Wang, Qianwen Ma
Format: Article
Language:English
Published: SAGE Publishing 2020-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147720920220
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spelling doaj-24833b46fbcf423a81a78e722f06143c2020-11-25T03:51:43ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-05-011610.1177/1550147720920220The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distanceTaifei ZhaoHua WangQianwen MaThe unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary large-scale activities. A single unmanned aerial vehicle equipped with base station has limited range of services, but a multiple unmanned aerial vehicle equipped with base station network can serve a wider range of users. The research goal of unmanned aerial vehicle equipped with base station network coverage control is to maximize the network coverage under the condition of maintaining the service quality. In view of the low dynamic coverage ratio of unmanned aerial vehicle equipped with base station network, this article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method. The unmanned aerial vehicle realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles. In addition, the algorithm is also adapted to a variety of scenarios. The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.https://doi.org/10.1177/1550147720920220
collection DOAJ
language English
format Article
sources DOAJ
author Taifei Zhao
Hua Wang
Qianwen Ma
spellingShingle Taifei Zhao
Hua Wang
Qianwen Ma
The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
International Journal of Distributed Sensor Networks
author_facet Taifei Zhao
Hua Wang
Qianwen Ma
author_sort Taifei Zhao
title The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
title_short The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
title_full The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
title_fullStr The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
title_full_unstemmed The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
title_sort coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2020-05-01
description The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary large-scale activities. A single unmanned aerial vehicle equipped with base station has limited range of services, but a multiple unmanned aerial vehicle equipped with base station network can serve a wider range of users. The research goal of unmanned aerial vehicle equipped with base station network coverage control is to maximize the network coverage under the condition of maintaining the service quality. In view of the low dynamic coverage ratio of unmanned aerial vehicle equipped with base station network, this article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method. The unmanned aerial vehicle realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles. In addition, the algorithm is also adapted to a variety of scenarios. The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.
url https://doi.org/10.1177/1550147720920220
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