A multi-node energy prediction approach combined with optimum prediction interval for RF powered WSNs
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14529611
- Type
- D - Journal article
- DOI
-
10.3390/s19245551
- Title of journal
- Sensors
- Article number
- 5551
- First page
- -
- Volume
- 19
- Issue
- 24
- ISSN
- 1424-8220
- Open access status
- Compliant
- Month of publication
- December
- 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
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The early approach of this work was presented in 8th International Conference on Sensor Networks 2018. This presents a novel multi-node approach for predicting future energy availability using energy harvesting history from neighbouring nodes in environmentally powered radio-frequency wireless sensor networks. Also developed is a mathematical model to compute a crucial optimum value for the prediction interval. The gathering of data relating to global climate change will rely increasingly on WSNs to accurately monitor changes to the environment. Such networks require power, and financial and political pressures expect progress on energy harvesting to extend network lifetimes.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
