Internet of Everything and Big Data

Major Challenges in Smart Cities
1. Auflage 2022
ISBN: 978-1-032-34789-9
Verlag: CRC Press

Buch, Englisch, 158 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 391 g

Reihe: Internet of Everything (IoE)

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big Data: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities.

This book is dedicated to addressing the major challenges in realizing smart cities and sensing platforms in the era of Big Data cities and Internet of Everything. Challenges vary from cost and energy efficiency to availability and service quality. This book examines security issues and challenges, addresses the total information science challenges, covers exploring and creating IoT environment-related sales adaptive systems, and investigates basic and high-level concepts using the latest techniques implemented by researchers and businesses.

The book is written for analysts, researchers, and specialists who are working on the future generation of the technologies. It will serve as a valuable guide for those in the industry, and students as well.

Zielgruppe

Professional

Autoren/Hrsg.

Krit, Salah-Ddine

Elhoseny, Mohamed

Balas, Valentina Emilia

Benlamri, Rachid

Balas, Marius M.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

1. Wireless Sensor Networks in Smart Cities. 2. Big Data Analytics. 3. Security Issues in Smart Cities. 4. Artificial Intelligence in Smart-Cities. 5. Performability in IoT-enabled Sensors. 6. Data delivery in IoT-enabled Smart Cities. 7. Deployment Issues in IoT-enabled Sensors. 8. Traffic Modelling in Smart-Cities. 9. Resource Management and Enabling Technologies Localization in IoT-enabled Sensors. 10. Modeling and Simulation with Fuzzy Techniques in Smart Cities. 11. Energy Efficiency in Smart Cities Technologies. 12. Semantic Interoperability for IoT.

Über Autor(innen)

Salah-ddine Krit is an Associate Professor at the Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University Agadir Morocco, Dr. Krit is currently The Director of Engineering Science and Energies Laboratory and The Chief of Department of Mathematics, Informatics and Management. Dr. Krit received the Ph.D degrees in Software Engineering from Sidi Mohammed Ben Abdellah university, Fez, Morroco in 2004 and 2009, respectively. During 2002-2008, he worked as an engineer Team leader in audio and power management Integrated Circuits (ICs) Research, Design, simulation and layout of analog and digital blocks dedicated for mobile phone and satellite communication systems using Cadence, Eldo, Orcad, VHDL-AMS technology. Dr. Krit authored/co-authored over 130 Journal articles, Conference Proceedings and Book Chapters. His research interests include Wireless Sensor Networks, Network Security, Smart-Homes, Smart-Cities, Internet of Things, Business Intelligent, Big Data, Digital Money, Microelectronics and renewable Energies.

Mohamed Elhoseny is an Assistant Professor at the Faculty of Computers and Information, Mansoura University and a researcher at CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Dr. Elhoseny is the Director of Distributed Sensing and Intelligent Systems Lab, Mansoura University, Egypt. Collectively, Dr. Elhoseny authored/co-authored over 100 ISI Journal articles, Conference Proceedings, Book Chapters, and (9) books. His research interests include Sensors Technologies, Network Security, Internet of Things, and Artificial Intelligence Applications. Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications, IGI Global. Besides, he is an Associate Editor of prestigious journals.

Valentina Emilia-Balas Ph.D Automation and Applied Informatics, Valentina E. Balas is Full Professor at "AurelVlaicu" University of Arad, Romania. She is author of more than 265 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.

Rachid Benlamri is a Professor of Software Engineering at Lakehead University - Canada. He earned his Master's degree and a PhD in Computer Science from the University of Manchester - UK in 1987 and 1990 respectively. He is the head of the Artificial Intelligence and Data Science Lab at Lakehead University. He supervised over 80 students and postdoctoral fellows. He served as keynote speaker and general chair for many international conferences. Professor Benlamri is a member of the editorial board for many referred international journals. His research interests are in the areas of Artificial Intelligence, Semantic Web, Data Science, Ubiquitous Computing and Mobile Knowledge Management.

Marius M. Balas is a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University "Aurel Vlaicu" Arad (Romania). He holds a Doctorate in Applied Electronics and Telecommunications from the Politehnica University of Timisoara. Dr. Balas is an IEEE Senior Member. He is the author of 4 books, 12 book chapters, more than 100 papers (33 ISI/BDI papers, 40 papers in journals and conference proceedings, etc.) and 7 invention patents. His research interests are in Electronic Circuits, Modeling and Simu¬lation, Adaptive Control, Intelligent and Fuzzy Systems, Soft Computing and Intelligent Transportation. The main original concepts introduced by Prof. Marius M. Balas are: the fuzzy-interpolative systems, the passive green-house, the constant time to collision optimization of the traffic, the imposed distance braking, the internal model bronze casting, PWM inverter for railway coaches in tropical environments, the rejection of the switching controllers effect by phase trajectory analysis, the Fermat neuron, etc. He has been men¬tor for many student research teams and challenges, awarded by Microsoft Imagine Cup, GDF Suez, etc. Prof. Marius M. Balas has participated in many international conferences as organizer, session chair and member in international program committees. He is editor-in chief, member of editorial board or reviewer for several international journals.