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TSPR: A Trusted Service Prerequest System for Efficient Data Processing in C-ITS
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AI
DOI：10.1109/TSMC.2023.3298513.png)
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Abstract
En 中文
The emerging edge computing technology is crucial for Cooperative Intelligent Transport System (C-ITS), enabling rapid service response and efficient data processing in vehicular networks. A reservation service strategy that utilizes vehicle-to-vehicle and vehicle-to-infrastructure communication is introduced to improve the service experience. However, ensuring the reliability of service relays necessitates the evaluation of vehicle trustworthiness, particularly considering the potential presence of malicious behaviors. To address this problem, a trusted service prerequest (TSPR) system is proposed. First, we design a trust evaluation mechanism based on backtracking to incentivize vehicles to participate in the relay process and ensure reliable delivery of service requests. Additionally, we consider the dynamic traffic condition and present a trust-aware relay vehicle selection mechanism that guarantees the effectiveness of service relays. Specifically, the selection process is optimized by jointly considering cost and trust. Furthermore, we establish an evolutionary game model involving the system supervision center and vehicles, analyzing the factors that influence strategy selection. Extensive simulations demonstrate that the proposed system can effectively enhance edge services, achieving a higher request arrival rate and lower relay cost.
Keywords:
Relays
Reliability
Costs
Edge computing
Data processing
Vehicle dynamics
Roads
Cooperative-intelligent transport system (C-ITS)
data processing
edge computing
evolutionary game
trust evaluation
Journal
IF:
10.5
Papers:
1.1W
Citations:
5.0W
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