Paper Info
Title
Reliability-Aware Joint Optimization for Cooperative Vehicular Communication and Computing
Abstract
This 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.
Year
DOI
Venue
2021
10.1109/TITS.2020.3038558
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Cooperative vehicle infrastructure system (CVIS),vehicular communication,mobile edge computing (MEC),partial offloading,dynamic programming
Journal
22
Issue
ISSN
Citations 
8
1524-9050
3
PageRank 
References 
Authors
0.38
0
9
Name
Order
Citations
PageRank
Xu Han130.38
Daxin Tian220432.49
Zhengguo Sheng344640.43
Xuting Duan4457.80
Jianshan Zhou512913.66
Wei Hao684.26
Ke-Jun Long741.07
Min Chen822116.45
Victor C. M. Leung99717759.02