OBQR: Orientation-Based Source QoS Routing in VANETs
Abstract
The source-based routing using quality of service (QoS) metrics results in alternate path discovery considering link-availability time, link costs, and path delays to overcome the barrier of information blocking on a selected path by choosing alternative routes. However, multipath selection, as well as the cost of selecting a path, make the route selection a challenging task. This paper proposes a vehicle orientation based QoS routing in vehicular ad-hoc networks (VANETs), called OBQR that exploits vehicle orientational information instead of magnitude information. The cosine similarity concept with a preliminary scalarization model converts the multi-constraint objectives into a single constraint objective to find a set of possible paths to the destination. We evaluate the performance of our approach and compare it with existing state-of-the-art schemes based on QoS routing and clustering. Experimental results demonstrate that the proposed scheme significantly improves path selection and load balancing with better QoS routing performance.
Recommended Citation
A. Nahar et al., "OBQR: Orientation-Based Source QoS Routing in VANETs," MSWiM 2020 - Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 199 - 206, Nov 2020.
The definitive version is available at https://doi.org/10.1145/3416010.3423218
Meeting Name
23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2020
Department(s)
Computer Science
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
clustering; cosine similarity.; qos routing; vehicular ad-hoc networks
International Standard Book Number (ISBN)
978-145038117-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020, All rights reserved.
Publication Date
16 Nov 2020
Comments
National Science Foundation, Grant CCF-1725755