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Proceedings ArticleDOI

OBQR: Orientation-Based Source QoS Routing in VANETs

TLDR
A vehicle orientation based QoS routing in vehicular ad-hoc networks (VANETs) is proposed, called OBQR, that exploits vehicle orientational information instead of magnitude information and significantly improves path selection and load balancing with betterQoS routing performance.
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.

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Citations
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Journal ArticleDOI

Performance evaluation of CNN-based pedestrian detectors for autonomous vehicles

Mingzhi Sha, +1 more
- 01 Apr 2022 - 
TL;DR: Li et al. as discussed by the authors conducted a comprehensive comparative study of representative CNN-based pedestrian detectors, aiming to investigate the influence of experimental settings by eliminating the bias of different experimental environments, which could lead to unfair comparisons.
Journal ArticleDOI

Towards a Sustainable Highway Road-Based Driving Protocol for Connected and Self-Driving Vehicles

TL;DR: In this paper , the authors proposed a green protocol to assist drivers and self-driving vehicles to drive efficiently over highways in order to reduce the fuel economy and gas emission of their vehicles.
Proceedings ArticleDOI

Context Prediction of Highways Based on The Vehicular Traffic Distribution

TL;DR: In this article, a context-aware traffic prediction technique is proposed to predict the context of the highway scenarios in terms of the existence of obstacles, broken vehicles, or entrance/exit points based on the distribution of vehicles' traveling speed.
Proceedings Article

Performance Evaluation of Pedestrian Detectors for Autonomous Vehicles

TL;DR: In this article, the authors compare two representative CNN-based pedestrian detection systems with the same computing power for a fair comparison study, aiming to find out how experimental settings affect the detector's accuracy.
Journal ArticleDOI

Improving QoS in Internet of Vehicles Integrating Swarm Intelligence Guided Topology Adaptive Routing and Service Differentiated Flow Control

TL;DR: In this paper , an integration of hybrid metaheuristics guided routing and service differentiated flow control is proposed to ensure QoS in Internet of Vehicles. But, the proposed solution is not able to achieve higher packet delivery ratio and 9.67% lower end to end packet latency compared to existing works.
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