A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services

Kun Meng; Lijun Sun; Xiao Chen; Haiqin Wu; Shuaiyong Li

doi:10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services

Kun Meng
, Lijun Sun^*
, Xiao Chen
, Haiqin Wu
, Shuaiyong Li

^*Corresponding author for this work

Software Engineering Institute

Qingdao University of Science and Technology
University of Leicester
Ministry of Education of the People's Republic of China

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

2 Scopus citations

Abstract

Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. This balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-49
Number of pages	8
ISBN (Electronic)	9798350329223
DOIs	https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038
State	Published - 2023
Event	21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023 - Wuhan, China Duration: 21 Dec 2023 → 24 Dec 2023

Publication series

Name	Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023

Conference

Conference	21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023
Country/Territory	China
City	Wuhan
Period	21/12/23 → 24/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Blockchain Sharding
Decentralized Energy Trading
Linear BFT
Scalable Consensus
V2V Trading System

Access to Document

10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

Cite this

Meng, K., Sun, L., Chen, X., Wu, H., & Li, S. (2023). A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services. In Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023 (pp. 42-49). (Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

Meng, Kun ; Sun, Lijun ; Chen, Xiao et al. / A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services. Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 42-49 (Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023).

@inproceedings{2833453df59e4d9fadc9f705eebbe390,

title = "A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services",

abstract = "Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. This balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment.",

keywords = "Blockchain Sharding, Decentralized Energy Trading, Linear BFT, Scalable Consensus, V2V Trading System",

author = "Kun Meng and Lijun Sun and Xiao Chen and Haiqin Wu and Shuaiyong Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023 ; Conference date: 21-12-2023 Through 24-12-2023",

year = "2023",

doi = "10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038",

language = "英语",

series = "Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023",

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

pages = "42--49",

booktitle = "Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023",

address = "美国",

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Meng, K, Sun, L, Chen, X, Wu, H & Li, S 2023, A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services. in Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023. Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023, Institute of Electrical and Electronics Engineers Inc., pp. 42-49, 21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023, Wuhan, China, 21/12/23. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services. / Meng, Kun; Sun, Lijun; Chen, Xiao et al.
Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 42-49 (Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023).

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

TY - GEN

T1 - A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services

AU - Meng, Kun

AU - Sun, Lijun

AU - Chen, Xiao

AU - Wu, Haiqin

AU - Li, Shuaiyong

PY - 2023

Y1 - 2023

N2 - Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. This balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment.

AB - Vehicle-to-vehicle (V2V) energy trading stands as a significant technology, allowing electric vehicles (EVs) to share energy. This balances energy demand and supply, reducing pressure on the power grid. However, two substantial challenges require attention: 1) Creating a standardized protocol universally adoptable by EV manufacturers and energy trading participants to establish a common secure and reliable platform for real-time energy trading between EVs. 2) Determining a fair and transparent pricing and transaction management mechanism, accounting for factors such as energy demand and supply, location, and user preferences. To tackle these hurdles, this paper proposes a decentralized V2V energy trading system (VETS) based on a novel high-performance sharding blockchain framework. VETS incorporates a standard energy trading management protocol, achieving trustless and transparent transaction processing. It employs a blockchain sharding and parallel architecture for high transaction throughput, catering to a large number of EVs. Furthermore, an efficient consensus algorithm is developed to minimize service delays and adapt to real-time transaction demands. A practical testbed operationalizes VETS, facilitating experimental analysis within a real-world cloud environment.

KW - Blockchain Sharding

KW - Decentralized Energy Trading

KW - Linear BFT

KW - Scalable Consensus

KW - V2V Trading System

UR - https://www.scopus.com/pages/publications/85180668886

U2 - 10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

DO - 10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

M3 - 会议稿件

AN - SCOPUS:85180668886

T3 - Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023

SP - 42

EP - 49

BT - Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

Y2 - 21 December 2023 through 24 December 2023

ER -

Meng K, Sun L, Chen X, Wu H, Li S. A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services. In Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 42-49. (Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023). doi: 10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00038

A Decentralized Vehicle-to-Vehicle Energy Trading System Based on Efficient Sharding Services

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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