ADDSEN: adaptive data processing and dissemination for drone swarms in urban sensing
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2139
- Type
- D - Journal article
- DOI
-
10.1109/TC.2016.2584061
- Title of journal
- IEEE Transactions on Computers
- Article number
- -
- First page
- 183
- Volume
- 66
- Issue
- 2
- ISSN
- 0018-9340
- Open access status
- Not compliant
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
10.1109/TC.2016.2584061
- 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)
-
-
- Citation count
- 40
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper describes a holistic middleware solution for drone swarms executing urban sensing tasks. The work was part of an international multidisciplinary collaboration with the University of California, Irvine and SRI International. The concept and theory work was carried out at Imperial, and Di Wu travelled to the US to work with the Irvine Transport group drone systems and carry out the practical experimentation. The work contributed to Di Wu's Professorship at Hunan University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -