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Volume 7, Number 15, November 2017
9
th
International Conference on Networks & Communications (NeTCoM - 2017), November 25 ~ 26, 2017, Dubai, UAE
Volume Editors : Natarajan Meghanathan, Dhinaharan Nagamalai
ISBN : 978-1-921987-75-5
Internet of Things in Industry 4.0 Case Study : Fluid Distribution Monitoring System
Maroua Abdelhafidh
1,2,3
, Mohamed Fourati
1,2,4
, Lamia Chaari Fourati
1,2,4
and Abdessalam Chouaya
5
,
1
University of Sfax, Tunisia,
2
Digital Research Center of Sfax (CRNS), Tunisia,
3
National Engineering School of Sfax, Tunisia,
4
Higher Institute of Computer Science and Multimedia of Sfax, Tunisia and
5
Research Center Gafsa Chemical Group (SIAPE), Tunisia
Towards a Community-Based Mobile Nearby Assistance Solution : Framework and First Prototype
Amine Boulemtafes
1
, Dalila Hamidouche
2
, Chayma Zatout
2
, Chafika Benzaid
2
and Nadjib Badache
1,2
,
1
CERIST Research Center, Algeria and
2
USTHB University, Algeria
Detection and Prevention of Black Hole Attack in VANET Using Secured AODV Routing Protocol
Salim Lachdhaf
1
, Mohammed Mazouzi
2
and Mohamed Abid
2
,
1
University of Gabes, Tunisia and
2
University of Sfax, Tunisia
Cognitive Radio and Radio Frequency Identification Technologies in Smart Environment
Roa Alharbi, University of Western Ontario, Canada
Distance Learning via Social Media
Mohammad Derawi, Norwegian University of Science and Technology, Norway
Traffic Signal Control with Vehicle to Everything Communication
Muntaser A. Salman
1,2
, Suat Ozdemir
3
and Fatih V. Celebi
2
,
1
University of Anbar, Iraq,
2
Yildirim Beyazit University, Turkey and
3
Gazi University, Turkey
Performance Evaluation of Mobility and Routing Protocols for Vehicular Ad Hoc Networks Using NS-2 and VanetMobisim
Fatma Baccar
1
, Kais Mnif
1
and Lotfi Kammoun
2
,
1
National School of Electronics and Telecommunications, Tunisia and
2
National School Engineers of Sfax, Tunisia
Denial of Service Attacks Against the 4-Way Wi-Fi Handshake
Mathy Vanhoef and Frank Piessens, KU Leuven, Belgium
CFAR Detection in MIMO Radars Using Fuzzy Fusion Rules in Homogeneous Background
Faycal Khaldi and Faouzi Soltani, Universite des Freres Mentouri Constantine, Algeria
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