General Framework for Network Throughput Maximization in Sink-Based Energy Harvesting Wireless Sensor Networks
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 32130324
- Type
- D - Journal article
- DOI
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10.1109/TMC.2016.2607716
- Title of journal
- IEEE Transactions on Mobile Computing
- Article number
- -
- First page
- 1881
- Volume
- 16
- Issue
- 7
- ISSN
- 1536-1233
- Open access status
- Deposit exception
- Month of publication
- September
- Year of publication
- 2016
- 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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1
- Research group(s)
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F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research pioneered a general framework in data collection from energy harvesting sensor nodes using a path-constrained mobile sink. This works was funded by the Ministry of Oceans and Fisheries, and by the GIST Research Institute (GRI) in 2016. This word has further led to a PhD award at GIST institute, Korea https://comlab.gist.ac.kr/prog/gsMember/comlab/A/list.do?gubunName=Alumni&mno=sub02_01_06_01). The significance of the research is uncovering interesting facts about adjusting the movement of mobile sink on the path. The proposed framework has sparked significant interest in the research community attracting more than 40 citations from leading researchers within last three years.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -