The University of Southampton
University of Southampton Institutional Repository

Taking drones to the next level: cooperative distributed unmanned-aerial-vehicular networks for small and mini drones

Taking drones to the next level: cooperative distributed unmanned-aerial-vehicular networks for small and mini drones
Taking drones to the next level: cooperative distributed unmanned-aerial-vehicular networks for small and mini drones
Unmanned Aerial Vehicles (UAV) have been widely used both in military and in civilian applications. However, the cooperation of small and mini drones in a network is capable of further improving both the performance and the coverage area of UAVs. Naturally, there are numerous new challenges to be solved before the wide-spread introduction of multi-UAV based heterogeneous Flying Ad Hoc Networks (FANET), including the formulation of a stable network structure. Meanwhile, an efficient gateway selection algorithm and management mechanism is required a swell. On the other hand, the stability control of the hierarchical UAV network guarantees the efficient collaboration of the drones. In this article, we commence with surveying the FANET structure and its protocol architecture. Then, a variety of distributed gateway selection algorithms and cloud-based stability control mechanisms are addressed, complemented by a range of open challenges.
1556-6072
73-82
Wang, Jingjing
a394f598-6ec0-4da3-bfbc-7e13fce9282b
Jiang, Chunxiao
44a0a8e7-d2f5-4732-8771-a7e4f766d114
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Jingjing
a394f598-6ec0-4da3-bfbc-7e13fce9282b
Jiang, Chunxiao
44a0a8e7-d2f5-4732-8771-a7e4f766d114
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Jingjing, Jiang, Chunxiao, Han, Zhu, Ren, Yong, Maunder, Robert and Hanzo, Lajos (2017) Taking drones to the next level: cooperative distributed unmanned-aerial-vehicular networks for small and mini drones. IEEE Vehicular Technology Magazine, 12 (3), 73-82. (doi:10.1109/MVT.2016.2645481).

Record type: Article

Abstract

Unmanned Aerial Vehicles (UAV) have been widely used both in military and in civilian applications. However, the cooperation of small and mini drones in a network is capable of further improving both the performance and the coverage area of UAVs. Naturally, there are numerous new challenges to be solved before the wide-spread introduction of multi-UAV based heterogeneous Flying Ad Hoc Networks (FANET), including the formulation of a stable network structure. Meanwhile, an efficient gateway selection algorithm and management mechanism is required a swell. On the other hand, the stability control of the hierarchical UAV network guarantees the efficient collaboration of the drones. In this article, we commence with surveying the FANET structure and its protocol architecture. Then, a variety of distributed gateway selection algorithms and cloud-based stability control mechanisms are addressed, complemented by a range of open challenges.

Text
Cooperative Distributed Unmanned Aerial Vehicular Networks.pdf - Accepted Manuscript
Download (832kB)
Text
vtm - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 21 December 2016
e-pub ahead of print date: 28 July 2017
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 404205
URI: http://eprints.soton.ac.uk/id/eprint/404205
ISSN: 1556-6072
PURE UUID: ba190785-e7dc-495c-aa02-4600d71674c2
ORCID for Robert Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 23 Dec 2016 21:01
Last modified: 18 Mar 2024 05:13

Export record

Altmetrics

Contributors

Author: Jingjing Wang
Author: Chunxiao Jiang
Author: Zhu Han
Author: Yong Ren
Author: Robert Maunder ORCID iD
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×