Transmitter-selection aided adaptive consensus-based data sharing for UAV swarms
Transmitter-selection aided adaptive consensus-based data sharing for UAV swarms
The unmanned aerial vehicle (UAV) swarm systems rely on wireless communications for data sharing and coordination. Recently, both the lazy and eager consensus-based algorithms were proposed to enable swarm-wide data sharing. However, our analysis and experiments show that the performance of both algorithms may degrade drastically in dynamic and heterogeneous network environments. The reason is attributed to the fixed transmitter selection strategies adopted in the algorithms. Therefore, in this paper, we propose a novel adaptive consensus data sharing algorithm by adopting single best transmitter selection to strike a beneficial tradeoff between convergence rate and payload cost. Then, we propose and implement a UAV swarm simulation platform to facilitate simulations in dynamic and heterogeneous environment. Numerical results reveal that the proposed adaptive consensus-based data sharing algorithm performs well across different network scenarios in terms of convergence rate and payload cost.
182217-182224
Zhang, Yanqi
86496ff9-9e4b-4923-818a-ba5f2a5e65f5
Zhang, Bo
a3a40350-c976-44fc-925f-ad6da50fe372
Yi, Xiaodong
15758577-a03e-406a-8523-0a87e2d9b393
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Zhang, Yanqi
86496ff9-9e4b-4923-818a-ba5f2a5e65f5
Zhang, Bo
a3a40350-c976-44fc-925f-ad6da50fe372
Yi, Xiaodong
15758577-a03e-406a-8523-0a87e2d9b393
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Zhang, Yanqi, Zhang, Bo, Yi, Xiaodong and Zhang, Jiankang
(2019)
Transmitter-selection aided adaptive consensus-based data sharing for UAV swarms.
IEEE Access, 7, .
(doi:10.1109/ACCESS.2019.2959397).
Abstract
The unmanned aerial vehicle (UAV) swarm systems rely on wireless communications for data sharing and coordination. Recently, both the lazy and eager consensus-based algorithms were proposed to enable swarm-wide data sharing. However, our analysis and experiments show that the performance of both algorithms may degrade drastically in dynamic and heterogeneous network environments. The reason is attributed to the fixed transmitter selection strategies adopted in the algorithms. Therefore, in this paper, we propose a novel adaptive consensus data sharing algorithm by adopting single best transmitter selection to strike a beneficial tradeoff between convergence rate and payload cost. Then, we propose and implement a UAV swarm simulation platform to facilitate simulations in dynamic and heterogeneous environment. Numerical results reveal that the proposed adaptive consensus-based data sharing algorithm performs well across different network scenarios in terms of convergence rate and payload cost.
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Accepted/In Press date: 5 December 2019
e-pub ahead of print date: 16 December 2019
Identifiers
Local EPrints ID: 436727
URI: http://eprints.soton.ac.uk/id/eprint/436727
ISSN: 2169-3536
PURE UUID: 7d37b59e-1fad-4b82-90ed-b01e03fe39b3
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Date deposited: 03 Jan 2020 11:04
Last modified: 17 Mar 2024 03:19
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Author:
Yanqi Zhang
Author:
Bo Zhang
Author:
Xiaodong Yi
Author:
Jiankang Zhang
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