Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)

Study of network architecture for Unmanned Aerial Vehicle

Authors
Hai-yan Zhao, Wen-jing Yang, Feng-chen Qian, Xiao-shuang Wang, Ran Li
Corresponding Author
Hai-yan Zhao
Available Online April 2018.
DOI
10.2991/icaset-18.2018.23How to use a DOI?
Keywords
Unmanned Aerial Vehicle; Network architecture; Routing Protocol
Abstract

With the rapid development of UAV (unmanned aerial vehicle) technology in the past decade, UAS tend to play an increasingly important role in information acquisition and unmanned operations. It becomes difficult for a single drone to meet the needs of complex tasks, and the application mode of drone formation coordination has gained great attention. First of all, this paper analyzes the structure of self-organizing network and then proposes across-layer network architecture for UAV formation and the requirements of formation and external communication. The development trend of UAV routing protocols is also summarized.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
Series
Advances in Engineering Research
Publication Date
April 2018
ISBN
978-94-6252-516-0
ISSN
2352-5401
DOI
10.2991/icaset-18.2018.23How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hai-yan Zhao
AU  - Wen-jing Yang
AU  - Feng-chen Qian
AU  - Xiao-shuang Wang
AU  - Ran Li
PY  - 2018/04
DA  - 2018/04
TI  - Study of network architecture for Unmanned Aerial Vehicle
BT  - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-18.2018.23
DO  - 10.2991/icaset-18.2018.23
ID  - Zhao2018/04
ER  -