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 language | English |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems, ICDCS 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1316-1317 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665471770 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022 - Bologna, Italy Duration: 2022 Jul 10 → 2022 Jul 13 |
Publication series
| Name | Proceedings - International Conference on Distributed Computing Systems |
|---|---|
| Volume | 2022-July |
Conference
| Conference | 42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022 |
|---|---|
| Country/Territory | Italy |
| City | Bologna |
| Period | 22/7/10 → 22/7/13 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- 5G
- DAG
- V2X
- VEC
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications