Congestion control for 6LoWPAN networks : A game theoretic framework
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 59
- Type
- D - Journal article
- DOI
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10.1109/JIOT.2017.2666269
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 760
- Volume
- 4
- Issue
- 3
- ISSN
- 2327-4662
- Open access status
- Technical exception
- Month of publication
- February
- Year of publication
- 2017
- 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
- No
- Number of additional authors
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2
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Article published in a journal with impact factor of 9.93. It has been cited 37 times. The paper explores how the problem of congestion can be solved using game theory. The researcher working on this work secured a Lecturer position based on the work, soon after graduation. Results from this paper were used in establishing an inter-disciplinary collaboration with the Department of Chemical and Environmental Engineering, at Nottingham"(Nicholas.warson@nottingham.ac.uk)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -