V2V Energy Trading Scheme Based on Collaborative Edge Computing and Lightning Network

The development of new energy vehicles is still in its nascent stages, and the scarcity of computing resources in new energy transactions has become a pressing concern. In order to address this challenge, the authors propose a Vehicle-to-Vehicle (V2V) energy trading scheme based on Collaborative Edge Computing (CEC) and Lightning Network (LN) technology. Firstly, collaborative vehicles are employed to perform edge computing in a more reasonable manner, effectively mitigating the task resource overload problem of fixed edge computing servers. Secondly, reliable and efficient transaction processing is achieved through the use of blockchain LN technology in transaction communication between vehicles. Thirdly, EdgeCloudSim is used to simulate the workload, and PCNsim is used to implement the LN energy trading scheme. The experimental results demonstrate that the edge computing scheme with collaborative mobile devices can reduce the task failure rate by 80%. Furthermore, it can also reduce network latency and significantly enhance the overall performance of the system in high contention and high workload environments.

• Record URL:
  • https://doi.org/10.1109/TITS.2024.3428443
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2024, IEEE.
• Authors:
  • Jiang, Wenhua
  • Guan, Zhenglei
• Publication Date: 2024-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 18252-18263
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 25
  • Issue Number: 11
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Blockchains; Cloud computing; Energy transfer; Mobile computing; Resource allocation; Vehicle to vehicle communications; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01948403
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 12 2025 9:23AM