Title
Improving vehicular safety message delivery through the implementation of a cognitive vehicular network
Abstract
The Wireless Access in Vehicular Environments (WAVE) protocol stack has been recently defined to enable vehicular communication on the Dedicated Short Range Communication (DSRC) frequencies. Some recent studies have demonstrated that the WAVE technology might not provide sufficient spectrum for reliable exchange of safety information over congested urban scenarios. In this paper, we address this issue, and present a novel cognitive network architecture in order to dynamically extend the Control Channel (CCH) used by vehicles to transmit safety-related information. To this aim, we propose a cooperative spectrum sensing scheme, through which vehicles can detect available spectrum resources on the 5.8GHz ISM band along their path, and forward the data to a fixed infrastructure known as Road Side Units (RSUs). We design a novel Fuzzy-Logic based spectrum allocation algorithm, through which the RSUs infer the actual CCH contention conditions, and dynamically extend the CCH bandwidth in network congestion scenarios, by using the vacant frequencies detected by the sensing module. The simulation results reveal the effectiveness of our architecture in providing dynamic and scalable allocation of spectrum resources, and in increasing the performance of safety-related applications.
Year
DOI
Venue
2013
10.1016/j.adhoc.2013.06.005
Ad Hoc Networks
Keywords
Field
DocType
WAVE,Cognitive radio networks,Safety applications,Spectrum management
Control channel,Spectrum management,Computer science,Computer network,Vehicular communication systems,Network congestion,Frequency allocation,Dedicated short-range communications,Distributed computing,Cognitive network,Cognitive radio
Journal
Volume
Issue
ISSN
11
8
1570-8705
Citations 
PageRank 
References 
12
0.56
27
Authors
5
Name
Order
Citations
PageRank
Ali J. Ghandour11036.45
Kassem Fawaz219019.60
Hassan A. Artail369071.89
Marco Di Felice452548.86
Luciano Bononi598583.92