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A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks

Author
Lemus, L.; Mezher, A.; Barbecho, P.; Astudillo, J.P.; Aguilar Igartua, M.
Type of activity
Journal article
Journal
IEEE access
Date of publication
2021-06-11
Volume
9
First page
86037
Last page
86053
DOI
10.1109/ACCESS.2021.3088474
Project funding
Secure SMArt Grid using Open Source Intelligence. Data Privacy and Reliable Communications
Repository
http://hdl.handle.net/2117/353085 Open in new window
URL
https://ieeexplore.ieee.org/document/9452155 Open in new window
Abstract
Vehicular networks support intelligent transportation system (ITS) to improve drivers’ safety and traffic efficiency on the road by exchanging traffic-related information between vehicles and also between vehicles and infrastructure. Routing protocols that are designed for vehicular networks should be flexible and able to adapt to the inherent dynamic network characteristics of these kind of networks. Therefore, there is a need to have effective vehicular communications, not only to make mobil...
Citation
Lemus, L. [et al.]. A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks. "IEEE access", 11 Juny 2021, vol. 9, p. 86037-86053.
Keywords
Artificial neural networks, Multimetric routing protocol, Vehicular networks
Group of research
SISCOM - Smart Services for Information Systems and Communication Networks

Participants