A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 261912-263350-1292
- Type
- D - Journal article
- DOI
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10.1109/TNSM.2019.2946428
- Title of journal
- IEEE Transactions on Network and Service Management
- Article number
- -
- First page
- 430
- Volume
- 17
- Issue
- 1
- ISSN
- 1932-4537
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2019
- URL
-
https://doi.org/10.1109/TNSM.2019.2946428
- 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
-
6
- Research group(s)
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F - Networked and Ubiquitous Systems Engineering (NUSE)
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper made a unique contribution and benchmark for scalable system building by using dynamic and adaptiveness in selection of devices for data aggregation and routing according to the network requirements, where state-of-the-art mostly focus on static node data routing. This paper is experimented to evaluate all the possible network performance in a variant network size where a significant variation on the performance achieved compared to benchmark data routing techniques. This paper is recently accepted with IEEE Transactions on Network and Service Management (impact factor 4.682), this one of the flagship venue for networking research dissemination.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -