Reference : Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/42547

Title :	Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing
Language :	English
Author, co-author :	Boualouache, Abdelwahab [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Soua, Ridha [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	7-Jun-2020
Main document title :	IEEE International Conference on Communications ICC'2020
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE International Conference on Communications ICC'2020
Event date :	from 07-06-2020 to 11-06-2020
Event place (city) :	Dublin
Event country :	Ireland
Keywords :	[en] Vehicular Networks ; Fog computing ; Vehicular Fog Computing ; Data Collection ; Software Defined Networks
Abstract :	[en] With the integration of fog networks and vehicular networks, Vehicular Fog Computing (VFC) is a promising paradigm to efficiently collect data for improving safety, mobility, and driver experience during journeys. To this end, we exploit the Software-Defined Networking (SDN) paradigm to propose a fully-programmable, self-configurable, and context-aware data collection scheme for VFC. This scheme leverages a stochastic model to dynamically estimate the number of fog stations to be deployed. Our simulation results demonstrate that our proposed scheme provides lower latency and higher resiliency compared to classical data collection schemes.
Funders :	European Commission - EC
Name of the research project :	5G-Drive
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/42547
Framework Programme / European Project :	H2020 ; 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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