2020_IEEE_ITS_joint_optimal_vehicular_edge.pdf (3.99 MB)
Reliability-aware joint optimization for cooperative vehicular communication and computing
journal contribution
posted on 2023-06-09, 22:11 authored by Xu Han, Daxin Tian, Zhengguo ShengZhengguo Sheng, Xuting Duan, Jianshan Zhou, Wei Hao, Kejun Long, Min Chen, Victor C M LeungThis paper comprehensively discusses the cooperative communication and computation of vehicular system. Based on the cooperative transmission, an stochastic model of vehicle-to-vehicle (V2V) communication reliability is established using probability theory. Furthermore, the computation reliability is defined as a new metric for computation offloading, and a vehicle computational performance evaluation model is also established. In order to effectively compute the required data, we combine V2V communication and vehicle computing to further characterize the coupling reliability of cooperative communications and computation systems. In addition, we propose a virtual queue model that combines queue length and vehicle privacy entropy to optimize partitioning. Finally, considering the amount of processing data and cut-off time of vehicle applications, we establish the optimal partition model of vehicle computing with the goal of maximizing the coupling reliability, and propose the coupling-oriented reliability calculation for vehicle collaboration using dynamic programming methods. Simulations show that the proposed scheme outperforms traditional approaches in terms of coupling reliability and completion rate. In addition, the allocation between local computing and data offloading is controlled by the server's privacy perception of collaboration events.
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Intelligent Transportation SystemsISSN
1524-9050Publisher
IEEEExternal DOI
Issue
8Volume
22Page range
5437-5446Department affiliated with
- Engineering and Design Publications
Notes
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2020-11-16First Open Access (FOA) Date
2021-01-11First Compliant Deposit (FCD) Date
2020-11-13Usage metrics
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