A communication model to decouple the path planning and connectivity optimization and support cooperative sensing
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182620672
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2014.2305474
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 3985
- Volume
- 63
- Issue
- 8
- ISSN
- 0018-9545
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908108493&partnerID=40&md5=885758b7ee29973d2e0b5ba587a97b24
- 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)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- When multiple robots are deployed to work cooperatively, finding optimal deployment strategies is an essential, yet difficult, task. This paper is significant because a new relay-assisted communication model is proposed to decouple constraint aspects so that independent optimisation becomes possible, with a pairing strategy to maximise the spectral gain. This work was funded by the EPSRC SUAAVE Project with UCL and Oxford, leading to a new grant jointly funded by the Royal Society and China NSFC (“ Multiple UAV Cooperation for Marine Oil Spill Detection”). It is the basis for two PhD projects and new EPSRC iCASE Award with BT.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -