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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-24833b46fbcf423a81a78e722f06143c |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT taifeizhao thecoveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance AT huawang thecoveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance AT qianwenma thecoveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance AT taifeizhao coveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance AT huawang coveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance AT qianwenma coveragemethodofunmannedaerialvehiclemountedbasestationsensornetworkbasedonrelativedistance |
_version_ |
1724486031749677056 |