UID:
almahu_9949460397402882
Edition:
1st ed.
ISBN:
9789175190136
Content:
This thesis by Yu Liu explores a data-centric Internet of Things (IoT) framework utilizing public cloud platforms, specifically Azure, to address challenges in deploying IoT services. It focuses on overcoming issues such as hardware heterogeneity, protocol compatibility, and data management through a universal architecture that supports WiFi, Thread, and LoRaWAN protocols. The framework aims to enhance device management and data security, while facilitating data analytics and intelligence through methods like neural network-based anomaly detection. The study demonstrates its applicability with a remote monitoring system for green plant walls, showcasing its potential in industrial and environmental contexts. The work targets researchers and professionals in IoT and cloud computing fields.
Note:
ABSTRACT -- Acknowledgments -- Publication List -- Contents -- Introduction -- Data-centric IoT Framework -- Security of The Framework -- Application: Cloud and IoT-powered Green Plant Wall Industry -- Summary of publications -- Conclusion and Future Work -- Bibliography -- Papers
Language:
English
