A Distributed Delay-Efficient Data Aggregation Scheduling for Duty-Cycled WSNs
- Submitting institution
-
University of Derby
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 786679-1
- Type
- D - Journal article
- DOI
-
10.1109/JSEN.2017.2692246
- Title of journal
- IEEE Sensors Journal
- Article number
- -
- First page
- 3422
- Volume
- 17
- Issue
- 11
- ISSN
- 1530437X
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/abstract/document/7894191
- 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
- 24
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces distributed delay efficient data aggregation scheduling (DEDAS-D) to solve the aggregation scheduling problem in duty-cycled sensor network. The essence of this paper is to reduce the delay and extends battery life when collecting data between deployed sensors. This paper has had 32 citations and 1,518 reads in IEEE Sensors Journal. This research has uptake and impact on a follow-on manifold of papers including [TD Nguyen] and sensor devices [S Asheer].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
