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An Opportunistic Dissemination Model for Traffic Congestion Management in Vehicular Networks
Authors:
Zhangyin Qian
Yue Wu
Keywords: Dynamic Routing; geo-based; opportunistic network; TraCI
Abstract:
Road congestion has troubled hundreds of thousands of drivers for a long time. In recent years, an application named Dynamic Routing, in which vehicles reroute themselves around congested areas with road information received, is proposed to deal with traffic jam. However, due to the high mobility of the topology of vehicular networks, conventional Ad-Hoc routing is not suitable in Dynamic Routing. As a result, the opportunistic routing might play an important role in this field due to its disruption-tolerant nature. In this paper, we propose a geo-based opportunistic information dissemination model tailored for Dynamic Routing. Instead of the assumption that vehicles participate in message exchanging unconditionally or stand alone completely, we think that a considerable proportion of vehicles in real life belong to certain groups and take the willingness to make contributions to their own groups’ driving conditions as a rational cooperation incentive. We evaluate the performance of our model and its effect on saving trip-time in a realistic scenario on an integrated simulation platform. The experimental results show that our dissemination model decreases forwarding overhead dramatically while still delivering as many useful messages into right vehicles as conventional broadcast algorithm does. We also evaluate the performance of different groups in terms of forwarding efficiency and trip-time improvement.
Pages: 18 to 23
Copyright: Copyright (c) IARIA, 2013
Publication date: July 21, 2013
Published in: conference
ISSN: 2327-2058
ISBN: 978-1-61208-288-2
Location: Nice, France
Dates: from July 21, 2013 to July 26, 2013