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This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and Artificial Intelligence (AI).
Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications.
Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT &amp cloud computing, data science, AI and block chain &amp Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users.
The ever-increasing population leads to congested cities making them difficult to manage, facilitating the need for modern approaches. The emerging concept of smart cities exceedingly encourages the use of sensors and automated systems to tackle these issues. Through sending real-time data and feedback, the extracted data can then be analyzed and processed for the sustainable socio-economic development of the cities. All this can be possible due to the introduction of Internet-of-Things (IoT) devices and complex sensors that are capable of communicating with each other creating a form of a digital environment, helping in making the cities autonomous. The emergence of big data and advanced machine learning techniques can detect anomalies and alterations that are otherwise not possible with the human eye. Today the machine learning models are becoming non-deterministic and can grow with time. A smart city is a collection of basic amenities provided in a smart, efficient, and eco-friendly manner that is interconnected and provides real-time feedback such as traffic management, pollution control, waste management, health care, etc. In this chapter, we discuss the underlying technology, their implementation, and the working of a model for the creation of a self-sustained smart city. The purpose of a smart city could be achieved if it is sustainable, self-reliant, and autonomous. For that, a novel smart city central management system (SCAS) is introduced in the chapter to administer and cater to the city with minimal intervention of a human. The model is conceptual and focuses more on the implementation and the planning phases of the smart city design.
Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book.
The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT &amp cloud, AI, data science, block chain &amp Industry 4.0 will find this book as a constant source of reference for their ongoing research.
Smart city planners, architects and municipal experts may also find this book useful