A Lightweight and Secure Vehicular Edge Computing Framework for V2X Services

Ramneek, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vehicle-to-everything (V2X) communications over cellular networks have a great potential for enabling intelligent transportation systems (ITSs), and supporting advanced services such as autonomous driving. However, such services have stringent QoS and security/privacy requirements. Even though the use of blockchain can ensure security and privacy for V2X services, blockchain-based solutions suffer from the issues of high latency, low scalability, and high computation power for mining. To overcome these challenges, we propose a lightweight and secure vehicular edge computing framework. The LS-VEC framework leverages directed acyclic graphs (DAGs) for recording transactions for edge resource allocation and micro-transactions for pricing VEC resources. In addition, an auction theory-based game-theoretic approach is proposed for allocation and pricing of edge resources used for supporting computation offloading.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems, ICDCS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1316-1317
Number of pages2
ISBN (Electronic)9781665471770
DOIs
Publication statusPublished - 2022
Event42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022 - Bologna, Italy
Duration: 2022 Jul 102022 Jul 13

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2022-July

Conference

Conference42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022
Country/TerritoryItaly
CityBologna
Period22/7/1022/7/13

Keywords

  • 5G
  • DAG
  • V2X
  • VEC

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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