Static, dynamic, and adaptive heterogeneity in distributed smart camera networks
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21486683
- Type
- D - Journal article
- DOI
-
10.1145/2764460
- Title of journal
- ACM Transactions on Autonomous and Adaptive Systems
- Article number
- 8
- First page
- -
- Volume
- 10
- Issue
- 2
- ISSN
- 1556-4665
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- 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
-
5
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented counter-intuitive results concerning how to most efficiently configure distributed smart camera networks, which run contra common practice. Beyond the specific application scenario, it provided new general insights into the analysis and control of diversity in collective systems, which were subsequently applied by other researchers in cloud computing (at Trinity College Dublin, e.g. DOI:10.1109/SASOW.2014.36, DOI:10.1109/ICSE.2015.201), and population-based optimisation algorithms. The insights led to Lewis being invited to give a talk at the prestigious Dagstuhl series of seminars (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15482).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
