Smart Cities: A Data Analytics Perspective

Topics of Interest

The topics covered in the edited book will include, but not limited to:

• Smart Cities and Data complexity
• Data sharing platform for Smart Cities
• IoT Solution Reference Architectures and Instances for smart cities
• Smart buildings, smart homes, smart energy grids and Data Management
• Big data technologies for smart cities
• Mobility and Smart Transportation
• Machine Learning Approaches in Smart Cities
• Data Analytics Tools and Technologies for smart cities
• Data oriented Case studies of applying IoT in smart cities
• User modelling and smart cities
• Middleware for Utility-based Provisioning of Smart City
• Uses case for Smart Cities
• Privacy and Social Issues in Smart Cities
• Cloud Computing (IAAS, PAAS, SAAS) for Smart Cities
• Open Platforms for Smart Cities
• Sensor and RFID applications of Smart Cities
• Cloud computing based approaches for smart city engineering
• IoT based developments for smart cities engineering
• Modelling and analysis of smart city technologies and systems
• Mobile applications for smart cities

Chapter Organization:

Chapters of this book chapter are organized as following:

Part – I: Past, Present and Future of Data in Smart Cities

Part – II Smart Architecture, Technology and Algorithms

Part – III Data Complexity in Smart Transportation and Mobility

Part – II Data Management in Smart Environment

Part – IV Smart Services, Education and Governance

Part – IV Smart People, Living and Economy