Maximizing Data Collection Throughput on a Path in Energy Harvesting Sensor Networks Using a Mobile Sink
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 32130320
- Type
- D - Journal article
- DOI
-
10.1109/tmc.2015.2424430
- Title of journal
- IEEE Transactions on Mobile Computing
- Article number
- -
- First page
- 690
- Volume
- 15
- Issue
- 3
- ISSN
- 1536-1233
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- 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
-
1
- Research group(s)
-
F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 53
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research addressed for the first time the throughput maximization as one of the challenging issues in data collection from energy harvesting sensor nodes using a path-constrained mobile sink. The research excited the development of new ideas for mobile sink-based data collection in numerous IoT applications and attracted more than 80 citations within last three years. This works was supported by the Ministry of Oceans and Fisheries, and by the Ministry of Science, ICT and Future Planning (MSIP) (2009-00422), Korea. 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).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
