Khan / Algarni / Quasim Smart Cities: A Data Analytics Perspective

1. Auflage 2020
ISBN: 978-3-030-60922-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 319 Seiten, eBook

Reihe: Lecture Notes in Intelligent Transportation and Infrastructure

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.

Zielgruppe

Research

Autoren/Hrsg.

Khan, Mohammad Ayoub

Algarni, Fahad

Quasim, Mohammad Tabrez

Inhaltsverzeichnis

Fundamental of Smart Cities.- A context aware big data analytics service-centric process modeling approach.- Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.