Vehicular Ad-hoc Networks for Smart Cities (eBook, PDF)

Third International Workshop, 2019
Redaktion: Laouiti, Anis; Mohamad Saad, Mohamad Naufal; Qayyum, Amir

• Format: PDF

Produktbeschreibung

This book presents selected papers from the Third International Workshop on Vehicular

Ad-hoc Networks for Smart Cities, Paris, 2019. Future smart cities are well placed to profit from extraordinary mobile infrastructures. IWVSC'2019 brings together experts from both academia and industry to discuss recent developments in vehicular networking technologies and their interaction with future smart cities in order to promote further research activities and challenges.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 121
• Erscheinungstermin: 7. April 2020
• Englisch
• ISBN-13: 9789811537509
• Artikelnr.: 59773978

Autorenporträt

Prof. Laouiti is a Full Professor at Telecom SudParis. He received his Ph.D. in Computer Science from the University of Versailles in 2002, and postdoctoral qualification from the Université Paris-Sud in 2015. His research covers various aspects of wireless multihop ad hoc and Internet of Things networks, including protocol design, performance evaluation and implementation testbeds. He is particularly interested in smart-city applications of these networks, and 5G technologies, like the Intelligent Transportation Systems, Industry 4.0, and e-Health applications. More recently, he has focused on promising next generation Internet architectures based on ICN (Information-Centric Network) and RINA (Recursive Internet Architecture). His current research interests include ITS-VANET platooning and automated driving, UAV deployment and movement coordination/optimization, and IoT: security, usage of blockchain for the IoT, trust management, and misbehavior detection in Industry 4.0 and healthcare contexts. Amir Qayyum obtained his Ph.D. in Mobile Wireless Networks from the University of Paris-Sud, France, in 2000. He was involved in INRIA France's research on mobile ad hoc networks (MANETs) from 1996 to 2000, and has co-authored optimized link state routing (OLSR) protocol RFC (RFC-3626). He holds an engineering degree from the University of Engineering and Technology, Lahore, Pakistan, and is currently the Head of the Center of Research in Networks and Telecom (CoReNeT) at Capital University of Science and Technology, Islamabad, Pakistan. His current activities at CoReNeT include projects on multicast video streaming in hybrid IPv4 and IPv6 networks, vehicular ad hoc networks (VANETs) for active safety applications, IP multimedia subsystem (IMS) and IPTV, software-defined networks (SDNs) and network function virtualization (NFV), and he has led several research projects in these areas in collaboration with various national and international partners.  Naufal M. Saad holds a Master's degree from the Ecole Nationale Supérieure d'Ingénieurs de Limoges (ENSIL) in France, and received his Ph.D. degree in Telecommunication from the Université de Limoges (UNILIM) in 2005. He is currently an Associate Professor at the Electrical & Electronic Engineering department of Universiti Teknologi PETRONAS (UTP), Malaysia, and also core research member at UTP's Centre for Intelligent Signal and Imaging Research (CISIR). His research interests include medical imaging, intelligent signal and communication and he has authored or co-authored more than 100 international publications. 

Inhaltsangabe

Implementation and evaluation of intelligent roadside infrastructure for automated vehicle with I2V communication.- Technology Selection For IoT-Based Smart Transportation Systems.- Speed Platoon Splitting Algorithm in Vehicular Networks.- A Statistical Framework for Adaptive Vehicular Edge Data Cleaning.- Software Defined Networking for Emergency Traffic Management in Smart Cities.- Towards a Reliable Machine Learning Based Global Misbehavior Detection in C-ITS: Model Evaluation Approach.- A RINA-based Security Architecture for Vehicular Networks.