Fuzzy based Channel Selection for Location Oriented Services in Multichannel VCPS Environments
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22063943
- Type
- D - Journal article
- DOI
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10.1109/JIOT.2018.2796639
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 4642
- Volume
- 5
- Issue
- 6
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- 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
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6
- Research group(s)
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F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Inspired to tackle the practical problems related to channel quality this research proposed a novel fuzzy based channel selection for location-oriented services in vehicular cyber physical systems. This research originally supported by EU funded Sustainable Green Economies through Learning Information and Knowledge Exchange (gLINK) project (Grant-No-2014/0861) has resulted in initiating further international collaboration between researchers in UK Spain. The work led to an invited talk in IEEE Smart Grid for Smart Cities (SG4SC) 2018 conference. The led to funded PhD scholarship in Manchester Metropolitan University on Online Vehicle Hijacking (Darren Dancey, HoD, d.dancey@mmu.ac.uk).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -