Bandwidth modeling of silicon retinas for next generation visual sensor networks
- Submitting institution
-
Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-28-1360
- Type
- D - Journal article
- DOI
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10.3390/s19081751
- Title of journal
- Sensors
- Article number
- -
- First page
- 1751
- Volume
- 19
- Issue
- -
- ISSN
- 1424-8220
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- 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
-
-
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work will enable to design transmission strategies for dynamic vision sensors in IoT scenarios, including autonomous vehicles (research on transmission strategies for this type of data is lacking and is ongoing in the authors' team). This paper is significant as it is the first to derive a model for the data rate output by event-based sensors.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -