This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.

• Chapter 1: Introduction to big data-enabled Internet of Things


• Chapter 2: Smarter big data analytics for traffic applications in developing countries


• Chapter 3: Using IoT-based big data generated inside school buildings


• Chapter 4: Autonomous collaborative learning in wearable IoT applications


• Chapter 5: A distributed approach to energy-efficient data confidentiality in the Internet of Things


• Chapter 6: An assessment of the efficiency of smart city facilities in developing countries: the case of Yaoundé, Cameroon


• Chapter 7: A comparative study of software programming platforms for the Internet of Things


• Chapter 8: Fog computing-based complex event processing for Internet of Things


• Chapter 9: Ultra-narrow-band for IoT


• Chapter 10: Fog-computing architecture: survey and challenges


• Chapter 11: A survey on outlier detection in Internet of Things big data


• Chapter 12: Supporting Big Data at the vehicular edge


• Chapter 13: Big data-oriented unit and ubiquitous Internet of Things (BD-U2IoT) security


• Chapter 14: Confluence of Big Data and Internet of Things - relationship, synergization, and convergence


• Chapter 15: Application of Internet of Things and big data for sustainability in water


• Chapter 16: IoT-based smart transportation system under real-time environment


• Chapter 17: Edge computing: a future trend for IoT and big data processing


• Chapter 18: Edge computing-based architectures for big data-enabled IoT


• Chapter 19: Information-centric trust management for big data-enabled IoT


• Chapter 20: Dependability analysis of IoT systems using dynamic fault trees analysis