Название: IoT and Big Data Analytics for Smart Cities: A Global Perspective
Автор: Sathiyaraj Rajendran, Munish Sabharwal, Gheorghita Ghinea
Издательство: CRC Press
Год: 2023
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities.

With advanced technologies, traditional human life has been migrated to a digital world. It has been observed that many of the advanced applications have been developed with the integration of advanced smart technologies like Artificial Intelligence (AI), cognitive computing, Machine Learning (ML), Big Data analytics, business intelligence, and Internet of Things (IoT). Among these technologies, Big Data Analytics with the integration IoT, offers extensive variety of applications and plays a vital role in assisting and managing smart city applications.

Nowadays, IoT devices are widely used in human’s day-to-day life activities and in solving real-time applications. These devices generate huge amount of data and all these data have to be stored and processed using Big Data algorithms. IoT and Big Data converge together to provide energy efficient solutions for smarter real-world applications.

Internet of Things (IoT) has transfigured traditional human life to smart life system. The goal of IoT is to “connect the unconnected”. The unpredictable growth in the number of devices connected to IoT and the rapid increase in the volume of data generated, this evidences the necessity of Data Analytics for various IoT applications. There are various applications that are yet to be solved and aim to offer a potential solution for Smart City. IoT plays a predominant role in the growth of smarter applications in various domains. Moreover, we require the support of Big Data analytics in analysing and processing huge datasets in a secure, safe and efficient manner. With the use of data analytics algorithms, we can develop applications for smarter cities like traffic prediction system, smart traffic management, smart parking system, smart healthcare, smart waste disposal system, smart environment, etc. These applications may not be possible without the support of IoT, which connects, coordinates, and communicates the devices namely “things”. The convergence of IoT and Big Data is essential in providing energy-efficient solutions for smarter cities. This addresses the necessity of integrating IoT and Big Data in providing energy-efficient solutions for smart cities. This book investigates the recent technological advancements and achievements in the said area and also it aims to discover the recent trends in IoT and Big Data Analytics to push the smart city concepts to the next level.

Features

Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application
Challenges and Roles of IoT and Big Data in Smart City applications
Provides Big Data-IoT intelligent smart systems in a global perspective
Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays
Gives various solutions and ideas for smart traffic development in smart cities
Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications
This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.






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