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Zaigham (Hrsg.) Mahmood

Connected Vehicles in the Internet of Things

Concepts, Technologies and Frameworks for the IoV

Buch

This book presents an overview of the latest smart transportation systems, IoV connectivity frameworks, issues of security and safety in VANETs, future developments in the IoV, technical solutions to address key challenges, and other related topics. A connected vehicle is a vehicle equipped with Internet access and wireless LAN, which allows the sharing of data through various devices, inside as well as outside the vehicle. The ad-hoc network of such vehicles, often referred to as VANET or the Internet of vehicles (IoV), is an application of IoT technology, and may be regarded as an integration of three types of networks: inter-vehicle, intra… Mehr

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Produktdetails


  • ISBN: 978-3-030-36166-2
  • EAN: 9783030361662
  • Produktnummer: 33438843
  • Verlag: Springer International Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2020
  • Seitenangabe: 360 S.
  • Masse: H24.1 cm x B16.0 cm x D2.5 cm 705 g
  • Auflage: 1st ed. 2020
  • Abbildungen: HC runder Rücken kaschiert
  • Gewicht: 705

Über den Autor


Professor Zaigham Mahmood is a Technology Consultant at Debesis Education, UK, and a Professor at the Shijiazhuang Tiedao University in Hebei, China. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan. He previously served as a Reader (Associate Professor) at the University of Derby, UK, and Professor Extraordinaire at the North-West University, Potchefstroom, South Africa. His many publications include the Springer titles Software Engineering in the Era of Cloud Computing; The Internet of Things in the Industrial Sector; Security, Privacy and Trust in the IoT Environment; Guide to Ambient Intelligence in the IoT Environment; Fog Computing; Smart Cities; Connected Environments for the Internet of Things; Software Project Management for Distributed Computing; Requirements Engineering for Service and Cloud Computing; Connectivity Frameworks for Smart Devices; Data Science and Big Data Computing; Cloud Computing: Challenges, Limitations and R&D Solutions; Continued Rise of the Cloud; Cloud Computing: Methods and Practical Approaches; Software Engineering Frameworks for the Cloud Computing Paradigm; and Cloud Computing for Enterprise Architectures.

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