About the Book
This book aims will provide the Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.
With the increasing technological interventions, the world is becoming a more and more interconnected and technology dependent. The concept of Smart cities was introduced as a result of the incorporation of technology in the existing infrastructure. Today smart cities are seen as the future of urban management, services and utility applications.
The idea behind this is to bring together the infrastructure and technology components of a city to enhance the quality of life of its people and improve the efficiency of the day to day processes. Future smart connected cities in turn, aims to synergistically integrate intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it.
In recent years, Artificial Intelligence/Machine Learning (AI/ML) methods have emerged as powerful computational models and have shown significant success to deal with a massive amount of data in unsupervised settings.
AI/ML is influencing various technologies because it offers an effective way of learning representation and allows the system to learn features automatically from data without the need of explicitly designing them.
With the emerging technologies, the Internet of Things (IoT), wearable devices, cloud computing and data analytics offer the potential of acquiring and processing tremendous amount of data from the physical world. AI/ML based algorithms help efficiently to leverage IoT and Big Data aspects in the development of personalized services in Smart Cities. The cyber physical systems (CPS) can be thought of as an integral part of the smart city ecosystem. The automation of objects of the smart city are facilitated by different types of CPSs.
The content of books can be classified into 3 important sections. Potential topics include but are not limited to the following:
Part I “Data-driven Infrastructure Design for Smart Cities”
- Smart City Ecosystem– An Introduction
- Datafication for secured smart cities
- Secured big data infrastructure services
- Intelligent infrastructure of secured smart cities
- Cyber-physical systems for secured smart cities
- Blockchain for smart cities
- Context-aware security and privacy of smart cities
- Privacy and social Issues in smart cities
- Sensor and RFID applications of smart cities
- Advanced data mining for secured smart cities
Part II “Data-driven analytical approaches for Smart Cities”
- Big data for secured smart cities
- Data analytics tools and technologies for smart cities
- Machine learning and AI for secured smart cities
- Optimization of Smart city Services
- Mobile applications for smart cities
- Cloud/Fog/Edge computing for secured smart cities
- Middleware for utility-based provisioning of secured smart cities
- Open platforms for secured smart cities
- Lightweight security protocols for securing IoT devices in smart cities
Part III “Data-driven solutions and applications for Smart Cities”
- Smart buildings, smart homes, smart energy grids and data management
- Secured urban healthcare management
- Smart mobility and transportation
- Smart urban governance
- Urban modelling for secured smart cities
- Uses case for secured smart cities
- Internet of Things for secured sustainable development
- Resilience and sustainability of secured smart cities
- Internet of Vehicle things for secured smart cities
Prospective contributors are invited to submit chapter proposal along with title, author details and tentative TOC to Dr. Chinmay Chakraborty firstname.lastname@example.org with the subject “Springer: SSC’21”. The abstract should highlight the novelty and contribution of the proposed article.
|Abstract Submission||10th December 2020|
|Full Chapter Submission||30th December 2020|
|Status Notification||05th January 2021|
|Chapter Revision Submission||20th January 2021|
|Final Acceptance||04th February 2021|