Overview
Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.
Full Product Details
Author: Bhawani Shankar Chowdhry ,
Faisal Karim Shaikh ,
Naeem Ahmed Mahoto
Publisher: IGI Global
Imprint: Business Science Reference
ISBN: 9781799812548
ISBN 10: 1799812545
Pages: 291
Publication Date: 27 December 2019
Audience:
College/higher education
,
Professional and scholarly
,
Tertiary & Higher Education
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Author Information
Faisal K. Shaikh is working as a Professor at Department of Telecommunication Engg., Mehran University of Engineering & Technology (MUET), Jamshoro. He received Ph.D. in Computer Science from the Technische Universität Darmstadt, Germany. His research areas include Internet of Things (IoT), Wireless Sensor Networks, Vehicular Adhoc Networks, Smart Homes and Cities, Body Area Networks, and Underwater Sensor Networks. He is a founder of IoT Research Laboratory at MUET. He has published more than 125 refereed journal, conference, and book chapters. He is a senior member of IEEE, IEEE COMSOC, IEEE Computer Society and life member of PEC. Naeem Ahmed Mahoto received Master degree in Computer Engineering from Mehran University of Engineering and Technology, Pakistan and Ph.D in Information and System Engineering from Politecnico di Torino, Italy in 2013. He is currently working as Associate Professor/ Head of Department Software Engineering, Mehran UET Pakistan. His research interests are focused in the field of data mining and bioinformatics. His research activities are also devoted to machine learning, data science, data visualization and educational data mining. He is member of IEEE Computer society and Pakistan Engineering Council (PEC).
