Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks

Ping Lang; Daxin Tian; Xuting Duan; Jianshan Zhou

doi:10.1109/ICUS58632.2023.10318370

Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks

Ping Lang
, Daxin Tian^*
, Xuting Duan
, Jianshan Zhou

^*Corresponding author for this work

School of Transportation Science and Engineering

State Key Laboratory of Intelligent Manufacturing System Technology
Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control
Beihang University
Zhongguancun Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

As a novel computing paradigm, the Vehicular Edge Computing (VEC) network provides an additional avenue for onboard task execution for connected and automated vehicles (CAVs) in unmanned systems. In a VEC network, CAVs can offload tasks to different external servers for execution and obtain results. However, existing task offloading studies only focus on the one-to-one offloading of onboard tasks to edge servers, ignoring the requirements of parallel task execution and security. In this paper, we propose a blockchain-based multi-destination cooperative task offloading architecture in a VEC network. Based on this architecture, we analyze the task offloading and blockchain models and formulate a multi-destination cooperative task offloading optimization problem. Finally, we compare the performance of different multi-destination task offloading methods in simulations and demonstrate the effectiveness of the proposed architecture and optimization.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Editors	Rong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	193-198
Number of pages	6
ISBN (Electronic)	9798350316308
DOIs	https://doi.org/10.1109/ICUS58632.2023.10318370
State	Published - 2023
Event	2023 IEEE International Conference on Unmanned Systems, ICUS 2023 - Hefei, China Duration: 13 Oct 2023 → 15 Oct 2023

Publication series

Name	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

Conference

Conference	2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Country/Territory	China
City	Hefei
Period	13/10/23 → 15/10/23

Keywords

blockchain
multi-destination task offloading
offloading optimization
vehicular edge computing

Access to Document

10.1109/ICUS58632.2023.10318370

Cite this

Lang, P., Tian, D., Duan, X., & Zhou, J. (2023). Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. In R. Song (Ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 (pp. 193-198). (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS58632.2023.10318370

Lang, Ping ; Tian, Daxin ; Duan, Xuting et al. / Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. editor / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 193-198 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

@inproceedings{fe16761446044caba99bbbf5fcac30e6,

title = "Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks",

abstract = "As a novel computing paradigm, the Vehicular Edge Computing (VEC) network provides an additional avenue for onboard task execution for connected and automated vehicles (CAVs) in unmanned systems. In a VEC network, CAVs can offload tasks to different external servers for execution and obtain results. However, existing task offloading studies only focus on the one-to-one offloading of onboard tasks to edge servers, ignoring the requirements of parallel task execution and security. In this paper, we propose a blockchain-based multi-destination cooperative task offloading architecture in a VEC network. Based on this architecture, we analyze the task offloading and blockchain models and formulate a multi-destination cooperative task offloading optimization problem. Finally, we compare the performance of different multi-destination task offloading methods in simulations and demonstrate the effectiveness of the proposed architecture and optimization.",

keywords = "blockchain, multi-destination task offloading, offloading optimization, vehicular edge computing",

author = "Ping Lang and Daxin Tian and Xuting Duan and Jianshan Zhou",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 ; Conference date: 13-10-2023 Through 15-10-2023",

year = "2023",

doi = "10.1109/ICUS58632.2023.10318370",

language = "英语",

series = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "193--198",

editor = "Rong Song",

booktitle = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

address = "美国",

}

Lang, P, Tian, D , Duan, X & Zhou, J 2023, Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. in R Song (ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 193-198, 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Hefei, China, 13/10/23. https://doi.org/10.1109/ICUS58632.2023.10318370

Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. / Lang, Ping; Tian, Daxin ; Duan, Xuting et al.
Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. ed. / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. p. 193-198 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks

AU - Lang, Ping

AU - Tian, Daxin

AU - Duan, Xuting

AU - Zhou, Jianshan

PY - 2023

Y1 - 2023

N2 - As a novel computing paradigm, the Vehicular Edge Computing (VEC) network provides an additional avenue for onboard task execution for connected and automated vehicles (CAVs) in unmanned systems. In a VEC network, CAVs can offload tasks to different external servers for execution and obtain results. However, existing task offloading studies only focus on the one-to-one offloading of onboard tasks to edge servers, ignoring the requirements of parallel task execution and security. In this paper, we propose a blockchain-based multi-destination cooperative task offloading architecture in a VEC network. Based on this architecture, we analyze the task offloading and blockchain models and formulate a multi-destination cooperative task offloading optimization problem. Finally, we compare the performance of different multi-destination task offloading methods in simulations and demonstrate the effectiveness of the proposed architecture and optimization.

AB - As a novel computing paradigm, the Vehicular Edge Computing (VEC) network provides an additional avenue for onboard task execution for connected and automated vehicles (CAVs) in unmanned systems. In a VEC network, CAVs can offload tasks to different external servers for execution and obtain results. However, existing task offloading studies only focus on the one-to-one offloading of onboard tasks to edge servers, ignoring the requirements of parallel task execution and security. In this paper, we propose a blockchain-based multi-destination cooperative task offloading architecture in a VEC network. Based on this architecture, we analyze the task offloading and blockchain models and formulate a multi-destination cooperative task offloading optimization problem. Finally, we compare the performance of different multi-destination task offloading methods in simulations and demonstrate the effectiveness of the proposed architecture and optimization.

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KW - offloading optimization

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Lang P, Tian D , Duan X , Zhou J. Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. In Song R, editor, Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 193-198. (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). doi: 10.1109/ICUS58632.2023.10318370

Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks

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