The transmit-energy vs computation-delay trade-off in gateway-selection for heterogenous cloud aided multi-UAV systems
The transmit-energy vs computation-delay trade-off in gateway-selection for heterogenous cloud aided multi-UAV systems
Unmmaned Aerial Vehicles (UAVs) have been widely used in a range of compelling applications. In this paper, we integrate both the networking techniques and cloud computing tasks of multi-UAV systems. We commence by proposing an energy efficient scheme for selecting the gateway of UAVs invoked for relaying data to the heterogenous cloud. Then, relying on queuing theory and Lyapunov optimization, we strike a power-delay trade-off by jointly optimizing the computational task scheduling and resource allocation in the heterogeneous cloud architecture, which is comprised of an edge cloud and a powerful remote cloud. We analyse the optimal resource-allocation strategy for each time-slot and an iterative algorithm is conceived for reducing the computational complexity. Finally, our numerical results demonstrate the superiority of the proposed scheme.
Wang, Ruiyang
6b392267-e153-4ad4-bd6c-dfa1c788f4cd
Wang, Jingjing
45786e24-b847-4830-a2f3-18ba61a9fb29
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Ruiyang
6b392267-e153-4ad4-bd6c-dfa1c788f4cd
Wang, Jingjing
45786e24-b847-4830-a2f3-18ba61a9fb29
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Ruiyang, Wang, Jingjing, Jiang, Chunxiao, Ren, Yong and Hanzo, Lajos
(2018)
The transmit-energy vs computation-delay trade-off in gateway-selection for heterogenous cloud aided multi-UAV systems.
IEEE Transactions on Communications.
(doi:10.1109/TCOMM.2018.2889672).
Abstract
Unmmaned Aerial Vehicles (UAVs) have been widely used in a range of compelling applications. In this paper, we integrate both the networking techniques and cloud computing tasks of multi-UAV systems. We commence by proposing an energy efficient scheme for selecting the gateway of UAVs invoked for relaying data to the heterogenous cloud. Then, relying on queuing theory and Lyapunov optimization, we strike a power-delay trade-off by jointly optimizing the computational task scheduling and resource allocation in the heterogeneous cloud architecture, which is comprised of an edge cloud and a powerful remote cloud. We analyse the optimal resource-allocation strategy for each time-slot and an iterative algorithm is conceived for reducing the computational complexity. Finally, our numerical results demonstrate the superiority of the proposed scheme.
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Accepted/In Press date: 21 December 2018
e-pub ahead of print date: 25 December 2018
Identifiers
Local EPrints ID: 427108
URI: http://eprints.soton.ac.uk/id/eprint/427108
ISSN: 0090-6778
PURE UUID: feaf23de-b670-4bd0-ba94-4bf7e2c94311
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Date deposited: 03 Jan 2019 10:27
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Ruiyang Wang
Author:
Jingjing Wang
Author:
Chunxiao Jiang
Author:
Yong Ren
Author:
Lajos Hanzo
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