Trustful Resource Management for Service Allocation in Fog-Enabled Intelligent Transportation Systemsopen access
- Authors
- Lee, Yunseong; Jeong, Seohyeon; Masood, Arooj; Park, Laihyuk; Dao, Nhu-Ngoc; Cho, Sungrae
- Issue Date
- Aug-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Data centers; Cloud computing; Edge computing; Resource management; Servers; Computer architecture; Blockchain; Internet of Vehicles (IoV); fog computing; VCG-auction
- Citation
- IEEE ACCESS, v.8, pp 147313 - 147322
- Pages
- 10
- Journal Title
- IEEE ACCESS
- Volume
- 8
- Start Page
- 147313
- End Page
- 147322
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/43803
- DOI
- 10.1109/ACCESS.2020.3015550
- ISSN
- 2169-3536
- Abstract
- A fog-enabled intelligent transportation system is constructed using Vehicle-to-Everything (V2X) communications towards the Internet of Vehicles (IoV). In this system, the road side unit (RSU) and vehicle correspond to the fog server and fog device, respectively. In practice, the RSU offers instant infotainment services (e.g., video streaming and traffic assistance) to vehicles. However, the vehicles are considered untrustworthy and could possibly be exploited to attack the system, thereby compromising the service stability and data integrity. To address this problem, this article proposes truthful service allocation using a Vickrey-Clarke-Groves (VCG) auction mechanism. The RSU leads the proposed auction as a seller who sells their computing resources, and the vehicles participate as buyers who purchase these computing resources for the offered services. Consequently, the RSU generates a transaction whenever a service allocation is assigned. To secure the service transactions, we utilize a distributed blockchain system that implements Hyperledger Fabric framework among RSUs for transaction verification. The simulation results demonstrate that the proposed system provides service stability while ensuring service trustfulness.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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