Reliability-optimal cooperative communication and computing in connected vehicle systems
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 355346_82721
- Type
- D - Journal article
- DOI
-
10.1109/TMC.2019.2907491
- Title of journal
- IEEE Transactions on Mobile Computing
- Article number
- -
- First page
- 1216
- Volume
- 19
- Issue
- 5
- ISSN
- 1536-1233
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
http://dx.doi.org/10.1109/TMC.2019.2907491
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We proposed a novel stochastic approach to characterize the coupling reliability of cooperative communications and computation in vehicle networks. In addition, we propose a virtual queue model that combines queue length and vehicle privacy entropy to optimize partitioning. The distributed solution can be used in the design of a fully intelligent and autonomous transportation system including driverless vehicles, roadside infrastructures (including sensing and communication technologies) and cloud computing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
