Energy management in harvesting enabled sensing nodes: Prediction and control
- Submitting institution
-
The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11026
- Type
- D - Journal article
- DOI
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10.1016/j.jnca.2019.01.015
- Title of journal
- Journal of Network and Computer Applications
- Article number
- -
- First page
- 104
- Volume
- 132
- Issue
- -
- ISSN
- 1084-8045
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2019
- 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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5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In line with the current technological advancements in terms of the Internet of Things, this work crucially examines the possibility of energy harvesting in sensor networks with the aid of prediction control models. The effectiveness of the proposed method is meticulously demonstrated by conducting simulated experiments. The impact of this work extends beyond the context of internet congestion control, as the findings of this study also sheds light on a new key direction of addressing the combined energy and rate management problem as coupled queue control problems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -