Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

DABFS: A Robust Routing Protocol for Warning Messages Dissemination in VANETs

Haider, S, Abbas, G, Abbas, ZH and Baker, T (2019) DABFS: A Robust Routing Protocol for Warning Messages Dissemination in VANETs. Computer Communications, 147. pp. 21-34. ISSN 0140-3664

R2.DABFS.V2.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (6MB) | Preview


Vehicular ad hoc networks play a pivotal role in the enrichment of transportation systems by making them intelligent and capable of avoiding road accidents. For transmission of warning messages, direction-based Greedy protocols select the next hop based on the current location of relay nodes toward the destination node, which is an efficient approach for uni-directional traffic. However, such protocols experience performance degradation by neglecting the movement directions of nodes in bi-directional traffic where topological changes occur dynamically. This paper pioneers the use of movement direction and relative positions of source and destination nodes to cater to the dynamic nature of bi-directional highway environments for efficient and robust routing of warning messages. A novel routing protocol, namely, Direction Aware Best Forwarder Selection (DABFS), is presented in this paper. DABFS takes into account directions and relative positions of nodes, besides the distance parameter, to determine a node’s movement direction using Hamming distance and forwards warning messages through neighbor and best route discovery. Analytical and simulation results demonstrate that DABFS offers improved throughput and reduced packet loss rate and end-to-end delay, as compared with eminent routing protocols.

Item Type: Article
Uncontrolled Keywords: 0805 Distributed Computing, 1005 Communications Technologies, 0906 Electrical and Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 30 Aug 2019 08:17
Last Modified: 04 Sep 2021 08:58
URI: https://researchonline.ljmu.ac.uk/id/eprint/11231
View Item View Item