Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach
- Submitting institution
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University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 12 - Engineering
- Output identifier
- 3279230
- Type
- D - Journal article
- DOI
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10.1109/TVT.2019.2894851
- Title of journal
- IEEE Transactions on Vehicular Communications
- Article number
- -
- First page
- 3113
- Volume
- 68
- Issue
- 4
- ISSN
- 0018-9545
- Open access status
- Deposit exception
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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5
- Research group(s)
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B - Engineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Vehicular fog computing (VFC) aims to offload computational tasks from the base station to under-utilized computing resources of nearby vehicles. However, VFC adoption still faces major hurdles in terms of practical implementation. This novel approach goes beyond by resorting to game theory for incentivizing vehicular users to cooperate and for resource assignment. The performance incurs service delay close to baseline values, but with much reduced complexity. This work provided the inspiration for a multi-partner European research proposal (5GPLANE- 860833) through the H2020 MCSA ITN-2019 call. 5GPLANE scored 87.7% that was deemed “very good” by the European Commission.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -