ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1260
- Type
- D - Journal article
- DOI
-
10.1109/TITS.2018.2828025
- Title of journal
- IEEE Transactions on Intelligent Transportation Systems
- Article number
- -
- First page
- 1604
- Volume
- 20
- Issue
- 5
- ISSN
- 1524-9050
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- 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)
-
C - Communications and Networking (Comms)
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- It is notoriously challenging to establish a reliable route for packet delivery in heterogeneous vehicular networks due to high mobility and frequent link disconnections. In contrast spiders can quickly approach prey trapped in webs. Significantly this paper introduced a completely new bio-inspired method; the concept of modelling networks as spider webs and vehicles as spiders. Mechanisms for mapping and the subsequent routing algorithms are proposed, making fully operational and practical solutions. The work attracted interest from multiple stakeholders such as e-vehicle and road companies and invited talks e.g. the 7th Int. Conf. on Smart City and Informatization (iSCI 2019)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -