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Smart Cities: A Data Analytics Perspective

  • Book
  • © 2021

Overview

  • Focuses on the interplay role between Smart Cities and IoT technology from architecture and infrastructure perspective that includes theories, methodologies, techniques, and tools, in practice
  • Presents a data analytics perspective on Smart Cities
  • Is an exceptional reference for postgraduates, researchers, scientists, and developers of smart cities

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Table of contents (15 chapters)

  1. Fundamental of Smart Cities and Data Analytics

  2. Algorithms in Smart Cities

  3. Smart Transportation and Mobility

  4. Case Studies in Smart Cities

Keywords

About this book

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms.  There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.


Editors and Affiliations

  • College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia

    Mohammad Ayoub Khan, Fahad Algarni, Mohammad Tabrez Quasim

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