Spectrum Assignment in Hardware-constrained Cognitive Radio IoT Networks under Varying Channel-quality Conditions
- Submitting institution
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Staffordshire University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5436
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2019.2901902
- Title of journal
- IEEE ACCESS
- Article number
- -
- First page
- 42816
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
https://ieeexplore.ieee.org/document/8667639
- 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
-
3
- Research group(s)
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B - Centre for Smart Systems, AI and Cybersecurity (CSSAIC)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented a solution to spectrum assignment in cognitive radio systems that does not assume adjacent channel interference can be ignored. This subsequently led to a GCRF project with Yarmouk University, Jordan, to develop a prototype novel end-to-end IoT wireless sensor network for on-the-fly early detection and warning of gas leakage. This led to further collaboration with the Universities of Montreal, Albany and Chicago State. Yotta Laboratories Ltd is currently discussing the licensing and commercialisation of the system and it is now being piloted in food outlets in Jordan.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -