Eligible earliest deadline first: Server-based scheduling for master-slave industrial wireless networks
- Submitting institution
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Teesside University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4047734
- Type
- D - Journal article
- DOI
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10.1016/j.compeleceng.2017.08.007
- Title of journal
- Computers and Electrical Engineering
- Article number
- -
- First page
- 305
- Volume
- 64
- Issue
- -
- ISSN
- 0045-7906
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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0
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is an extended version of a conference paper which won a best paper award at the IEEE Emerging Technologies and Factory Automation Conference 2011 in Tolouse, France. The article presents statistical analysis techniques for networks operating in burst error environments. These have been subsequently employed in test and validation of robot controllers, extended operating modes for the TT-CAN protocol. The transmission window technique developed and presented in this article has been used in dependable embedded systems developed by Alstom Grid (then-Technical Lead, Alstom Grid) and has been prototyped in hardware as a newly proposed protocol controller for CAN networks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -