Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2683691
- Type
- D - Journal article
- DOI
-
10.1109/TNET.2020.3020984
- Title of journal
- IEEE/ACM Transactions on Networking
- Article number
- -
- First page
- 2809
- Volume
- 28
- Issue
- 6
- ISSN
- 1063-6692
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
https://github.com/howbani/WSNSIM
- 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
-
5
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is the first to establish the orchestration capability in wireless sensing networks. It is the result of an international collaboration between four institutions. This work provided background evidence in seeking funding for 2 projects (National Natural Science Foundation of China (61701322), the Young and Middle-aged Science and Technology Innovation Talent Support Plan of Shenyang (RC190026)). Published in the flagship transaction journal of both ACM and IEEE and led to subsequent collaborative works (doi: 10.1109/TMC.2019.2928805, doi: 10.1109/TMC.2020.3022403, doi: 10.1109/JIOT.2020.3021141). The paper provided a simulation environment https://github.com/howbani/WSNSIM and made it available online for PhD students and researchers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -