Big Data-Enabled Internet of Things
Published on 10. January 2020
Book
Hardback
488 pages
978-1-78561-636-5 (ISBN)
Description
The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. 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.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 239 mm
Width: 160 mm
Thickness: 28 mm
Weight
907 gr
ISBN-13
978-1-78561-636-5 (9781785616365)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Muhammad Usman Shahid Khan is an Assistant Professor at COMSATS University of Islamabad, Abbottabad Campus. He is an IEEE Member. His research interests include data mining, recommendation systems, computer security, and big data.
Samee U. Khan is an Associate Professor of Electrical and Computer Engineering at the North Dakota State University, Fargo, ND, USA. His research interests include optimization, robustness, and system security.
Albert Y. Zomaya is Chair Professor of High Performance Computing & Networking in the School of Computer Science, and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney, Australia. His research interests span several areas in parallel and distributed computing and complex systems.
Samee U. Khan is an Associate Professor of Electrical and Computer Engineering at the North Dakota State University, Fargo, ND, USA. His research interests include optimization, robustness, and system security.
Albert Y. Zomaya is Chair Professor of High Performance Computing & Networking in the School of Computer Science, and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney, Australia. His research interests span several areas in parallel and distributed computing and complex systems.
Content
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 Yaounde, 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
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 Yaounde, 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