Secure and Personalized Edge Computing Services in 6G Heterogeneous Vehicular Networks
| Autor: | Yilong Hui, Nan Cheng, Yuanhao Huang, Zhou Su, Pincan Zhao, Tom H. Luan, Changle Li |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Vehicular ad hoc network
Computer Networks and Communications Computer science business.industry Symmetric multiprocessor system Bidding Computer Science Applications Attack model Hardware and Architecture Signal Processing Key (cryptography) Resource allocation Quality of experience business Edge computing Information Systems Computer network |
| Zdroj: | IEEE Internet of Things Journal. 9:5920-5931 |
| ISSN: | 2372-2541 |
| DOI: | 10.1109/jiot.2021.3065970 |
| Popis: | The customization of edge computing services is one of the key research fields in 6G heterogeneous vehicular networks (HetVNETs). With various personalized requirements of vehicles on computation-intensive applications, how to explore the heterogeneous computing resources in the 6G HetVNETs to guarantee vehicles with the customized quality of experience (QoE) therefore becomes a challenge. In this paper, we develop a novel secure scheme to provide personalized edge computing services for moving vehicles (MVs) in 6G HetVNETs. In the scheme, a smart-contract-based secure edge computing architecture is designed by jointly considering the attack models and the characteristics of the 6G network infrastructures (e.g., satellites, drones, base stations and roadside units), where each network infrastructure manages a number of parking vehicles (PVs) to complete computing services collaboratively. With this architecture, based on the available computing resources owned by different network infrastructures, the collaborative computing resource allocation (CCRA) algorithm is designed to help each network infrastructure decide a customized service strategy (CSS) to satisfy the QoE of MVs. After deciding the CSSs, a model based on the second price sealed auction is formulated to describe the competition among the network infrastructures, where the Nash equilibrium of the game is obtained to guide their optimal bidding strategies (OBSs) to obtain the chance for completing the services. The security analysis and the simulation results show that the proposed scheme can defend against the attacks and lead to a lower cost for completing the services than the conventional schemes. |
| Databáze: | OpenAIRE |
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