ADCS: An adaptive data collection scheme in vehicular networks using 3G/LTE

Drira, W; Puthal, D; Filali, F

ADCS: An adaptive data collection scheme in vehicular networks using 3G/LTE

Drira, W Puthal, D

Filali, F

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Publication Type:: Conference Proceeding
Citation:: 2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings, 2014, pp. 753 - 758
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Drira, W	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.contributor.author	Filali, F	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings, 2014, pp. 753 - 758	en_US
dc.identifier.isbn	9781479967292	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120640
dc.description.abstract	© 2014 IEEE. Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Collecting data from VANETs is important to monitor, control and manage road traffic. However, efficient collection of the needed data is quite challenging due to vehicles mobility and the tremendous amount of events and data generated. In this paper we focus on vehicle data collection using 3G/LTE. In the first step, we compare proactive and reactive data collection schemes using simulation. The results show that proactive gives the lowest delay and bandwidth usage but the most loss ratio. Interested in optimizing the bandwidth usage, an adaptive data collection scheme will be provided. It is based on the proactive scheme while it uses variable periods depending on the vehicle position and travel time to provide accurate traffic and travel time information to the Traffic Management Center (TMC). Emulation results, using taxi traces in Qatar, shows that our algorithm consumes an acceptable amount of mega bytes (≈ 31MB) per month when the basic reporting period is set to 10s.	en_US
dc.relation.ispartof	2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICCVE.2014.7297651	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	ADCS: An adaptive data collection scheme in vehicular networks using 3G/LTE	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Collecting data from VANETs is important to monitor, control and manage road traffic. However, efficient collection of the needed data is quite challenging due to vehicles mobility and the tremendous amount of events and data generated. In this paper we focus on vehicle data collection using 3G/LTE. In the first step, we compare proactive and reactive data collection schemes using simulation. The results show that proactive gives the lowest delay and bandwidth usage but the most loss ratio. Interested in optimizing the bandwidth usage, an adaptive data collection scheme will be provided. It is based on the proactive scheme while it uses variable periods depending on the vehicle position and travel time to provide accurate traffic and travel time information to the Traffic Management Center (TMC). Emulation results, using taxi traces in Qatar, shows that our algorithm consumes an acceptable amount of mega bytes (≈ 31MB) per month when the basic reporting period is set to 10s.

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http://hdl.handle.net/10453/120640