Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Smart cities are becoming increasingly popular due to their improved Quality of Life (QoL) and livelihood. They have achieved this by providing smart information to people regarding healthcare, transportation, parking, traffic structure, home, agronomy, community security, and more. However, the massive amount of data generated through ubiquitous sensors needs to be handled in an effective, efficient, secured, and privacy-preserved manner. Enabling technologies like IoT, NLP, Blockchain Technology, Deep Learning, Machine Learning, Computer vision, Big Data Analytics, Next Generation Networks, and Software Defined Networks (SDN) provide exemplary benefits if integrated in the classical city ecosystem in an effective manner. AI has the potential to improve human health, prosperity, and happiness by reducing our reliance on manual labor and accelerating our progress in the sciences and technologies.

Format: Hardback
Length: 402 pages
Publication date: 02 March 2023
Publisher: Springer International Publishing AG

The integration of technology into diverse application domains has led to a seamless connection between cities. These cities are transforming into smart entities by incorporating Information and Communication Technology (ICT) into their traditional infrastructure for efficient management. According to the McKenzie Report, approximately 68% of the global population is projected to migrate towards urban settlements in the near future. This migration is driven by the improved quality of life and economic opportunities offered in urban areas. In the context of urbanization, climate change, democratic challenges, and increasing urban welfare expenditures, smart cities have emerged as a crucial strategy for societal development. Smart cities have achieved improved quality of life by providing citizens with smart information on healthcare, transportation, parking, traffic management, home automation, agriculture, and community security. Typically, in smart cities, data is collected through sensor devices and disseminated to end users for further utilization. However, the transmission of sensitive data over the internet poses heightened risks of data breaches for adversaries. Recognizing the importance of privacy and security, this book addresses the most prominent security vulnerabilities across various application domains, including healthcare, manufacturing, transportation, education, and agriculture. Furthermore, the vast amount of data generated by ubiquitous sensors deployed in smart cities requires effective, efficient, secure, and privacy-preserving handling. As smart city ecosystems are primarily data-driven, it is essential to manage this data optimally. Enabling technologies such as the Internet of Things (IoT), Natural Language Processing (NLP), Blockchain Technology, Deep Learning, Machine Learning, Computer Vision, Big Data Analytics, and others play pivotal roles in shaping the future of smart cities.

Weight: 787g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031229213
Edition number: 1st ed. 2023