Chapter 1-Simulation, deployment, and testbed platforms for WSNs in Smart Cities.
Chapter 2-Accessibility, resilience, and security of IoT infrastructures for Smart Cities.
Chapter 3-Real-time information systems for intelligent transportation systems in Smart Cities.
Chapter 4-Mobile apps and WSN applications integrated in Smart Cities.
Chapter 5-AI techniques for devices and embedded systems in Smart Cities.
Chapter 6-Data processing.
Chapter 7-Self-learning.
Chapter 8-Computing and sensing infrastructures.
Chapter 9-Evolutionary algorithms for data mining in IoT based smart societies.
Chapter 10-Cloud computing-based evolutionary algorithms for IoT.
Chapter 11-Artificial intelligence algorithms for processing medical data in IoT.
Chapter 12-Machine learning for data processing in IoT based smart societies.
Chapter 13-Intelligent face recognition system using neural learning for smart security in IoT.
Chapter 14-Distributed attack detection using a deep neural network approach for IoT.
Chapter 15-Modeling and optimizing features selection in data system-based social IoT.
Chapter 16-Crowdsourcing systems and services for smart cities.
Chapter 17-Network communications technology for smart cities.
Chapter 18-Human mobility models for smart cities.
Chapter 19-Application of pervasive and mobile computing technology for smart cities.
Chapter 20-Safety, security, privacy and trust in applications and services for smart cities.
Chapter 21-Fault tolerance, reliability and survivability in smart cities.
Chapter 22-Multi-sourced heterogeneous data acquisition and fusion for smart cities.
Chapter 23-Case studies and test beds.