A scalable hybrid MAC strategy for traffic-differentiated IoT-enabled intra-vehicular networks
- Submitting institution
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Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D2012
- Type
- D - Journal article
- DOI
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10.1016/j.comcom.2020.04.035
- Title of journal
- Computer Communications
- Article number
- -
- First page
- 320
- Volume
- 157
- Issue
- -
- ISSN
- 0140-3664
- Open access status
- Access exception
- Month of publication
- May
- Year of publication
- 2020
- URL
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https://www.sciencedirect.com/science/article/abs/pii/S014036642030164X?via%3Dihub
- 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
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Moving away from wired-based to wireless-based connectivity for intra-vehicular data-exchange is critical for enabling intelligent vehicles, but hindered by the current capability to support massive amount of sensors. This paper is significant because it integrates a functionality to prioritise time-critical data-traffic and a desirability to expedite normal data-delivery. The effectiveness of the method has been tested to the IEEE802.15.4 wireless protocol standard and the evaluation provides guidance on how to optimise prioritisation and speedy delivery within intra-vehicular applications. The method has impacted subsequent works for energy-efficient protocols (DOI: 10.1002/dac.4637) and security design for massive IoT sensors (DOI: 10.1007/s11277-020-07649-9).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -