The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues.
Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.
Author(s): Pelin Yildirim Taser
Series: Advances in Web Technologies and Engineering
Publisher: Information Science Reference
Year: 2021
Language: English
Pages: 353
City: Hershey
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Chapter 1: A Comprehensive Evaluation of Internet-of-Things Platforms
Chapter 2: An Overview of IoT Infrastructure Architecture, Enabling Technologies, Issues, Integration of Cloud, and Simulation Tools
Chapter 3: Location-Based Internationalization and Localization With Mobile Computing
Chapter 4: Interoperability in Internet of Media Things and Integration Big Media
Chapter 5: An Architecture and Reference Implementation for WSN-Based IoT Systems
Chapter 6: Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks
Chapter 7: Machine Learning Techniques for IoT-Based Indoor Tracking and Localization
Chapter 8: XHAC
Chapter 9: Animal Activity Recognition From Sensor Data Using Ensemble Learning
Chapter 10: Essentials, Challenges, and Future Directions of Agricultural IoT
Chapter 11: Optimization of Consensus Mechanism for IoT Blockchain
Chapter 12: Critical Nodes Detection in IoT-Based Cyber-Physical Systems
Chapter 13: Mesh Network of eHealth Intelligent Agents for Visually Impaired and Blind People
Chapter 14: Prototype Implementation of Innovative Braille Translator for the Visually Impaired With Hearing Deficiency
Compilation of References
About the Contributors
Index
