Energy efficient resource allocation strategy in massive IoT for industrial 6G applications
- Submitting institution
-
University of Wolverhampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1688
- Type
- D - Journal article
- DOI
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10.1109/jiot.2020.3035608
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2020
- 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
- Yes
- Number of additional authors
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5
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces the idea of using clustering algorithm to divide massive IoT applications into different sub-sets or clusters to achieve more intelligent resource management and less computational complexity with distributed artificial intelligence. This paper is significant as it is the first paper that proposes a multi-agent system model for massive IoT based 6G network. This work has led towards new collaboration with Anhui University and Jiansu University in China and has underpinned a current proposal to setup a 6G research centre at the University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -