Big Data-Enabled Internet of Things

Inbunden, Engelska, 2020

AvMuhammad Usman Shahid, Khan,Muhammad Usman Shahid Khan,Samee U. Khan,Albert Y. Zomaya,Pakistan) Khan, Muhammad Usman Shahid (Assistant Professor, COMSATS University of Islamabad,USA) Khan, Samee U. (Associate Professor, North Dakota State University,Australia) Zomaya, Albert Y. (Chair Professor, University of Sydney,Samee U Khan

2 319 kr

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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.

Produktinformation

Utgivningsdatum2020-01-10
Mått156 x 234 x 28 mm
Vikt907 g
FormatInbunden
SpråkEngelska
SerieComputing and Networks
Antal sidor488
FörlagInstitution of Engineering and Technology
ISBN9781785616365

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Nätverk och kommunikation inom Data och IT

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.

Chapter 1: Introduction to big data-enabled Internet of ThingsChapter 2: Smarter big data analytics for traffic applications in developing countriesChapter 3: Using IoT-based big data generated inside school buildingsChapter 4: Autonomous collaborative learning in wearable IoT applicationsChapter 5: A distributed approach to energy-efficient data confidentiality in the Internet of ThingsChapter 6: An assessment of the efficiency of smart city facilities in developing countries: the case of Yaoundé, CameroonChapter 7: A comparative study of software programming platforms for the Internet of ThingsChapter 8: Fog computing-based complex event processing for Internet of ThingsChapter 9: Ultra-narrow-band for IoTChapter 10: Fog-computing architecture: survey and challengesChapter 11: A survey on outlier detection in Internet of Things big dataChapter 12: Supporting Big Data at the vehicular edgeChapter 13: Big data-oriented unit and ubiquitous Internet of Things (BD-U2IoT) securityChapter 14: Confluence of Big Data and Internet of Things - relationship, synergization, and convergenceChapter 15: Application of Internet of Things and big data for sustainability in waterChapter 16: IoT-based smart transportation system under real-time environmentChapter 17: Edge computing: a future trend for IoT and big data processingChapter 18: Edge computing-based architectures for big data-enabled IoTChapter 19: Information-centric trust management for big data-enabled IoTChapter 20: Dependability analysis of IoT systems using dynamic fault trees analysis

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