Efficient Data Propagation in Traffic-Monitoring Vehicular Networks

Abstract

Road congestion and traffic-related pollution have a large negative social and economic impact on several economies worldwide. We believe that investment in the monitoring, distribution, and processing of traffic information should enable better strategic planning and encourage better use of public transport, both of which would help cut pollution and congestion. This paper investigates the problem of efficiently collecting and disseminating traffic information in an urban setting. We formulate the traffic data acquisition problem and explore solutions in the mobile sensor network domain while considering realistic application requirements. By leveraging existing infrastructure such as traveling vehicles in the city, we propose traffic data dissemination schemes that operate on both the routing and the application layer; our schemes are frugal in the use of the wireless medium, rendering our system interoperable with the proliferation of competing applications. We introduce the following two routing algorithms for vehicular networks that aim at minimizing communication and, at the same time, adhering to a delay threshold set by the application: 1) delay-bounded greedy forwarding and 2) delay-bounded minimum-cost forwarding. We propose a framework that jointly optimizes the two key processes associated with monitoring traffic, i.e., data acquisition and data delivery, and provide a thorough experimental evaluation based on realistic vehicular traces on a real city map.

DTN Protocols for Vehicular Networks: An Application Oriented Overview

“…• In [70], authors presented D-Greedy and D-MinCost, two DTN protocols for traffic-monitoring in vehicular networks. As far as we know, this is the first paper to introduce a routing protocol that does not try to minimize the delay from source to destination, but minimizes the consumed resources while ensuring that the collected information meets certain maximum delay requirements.…”

“…Most of the protocols covered in this survey simply ignore the impact of reliability. Those that consider and use it are: DTFR [65], D-Greedy and D-MinCost [70], CAN DELIVER [72] and MSDP [60].…”

Using Real-Time Road Traffic Data to Evaluate Congestion

“…Researchers and the automotive industry are envisioning the deployment of a large spectrum of applications running on VANETs, including notification services for accidents and traffic congestion. Our TIME collaborators at the University of Oxford have investigated VANETs in the context of probe data [20][21][22]. They leverage connectivity between travelling vehicles in an urban area to propagate traffic information generated by vehicles to stationary gateways spread across the city.…”

Internet of Vehicles: Sensing-Aided Transportation Information Collection and Diffusion

“…Furthermore, a novel framework was proposed by Rémy et al in [20] [21] for a centralized vehicular network organization based on a 4G Long Term Evolution (LTE) network. However, these contributions primarily focused their attention on the topology characteristics and on the communication performance of vehicular networks instead of considering the quantity, density and heterogeneity of smart nodes in an IoV sensing aided network [22] [23] [24] [25]. These challenges inspired us to conceive this article on the architecture and key technologies of IoV sensing aided traffic information collection and diffusion [26].…”