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Low Overhead And Application-Oriented Synchronization In Heterogeneous Internet Of Things Systems, Haide Wang
Low Overhead And Application-Oriented Synchronization In Heterogeneous Internet Of Things Systems, Haide Wang
Electronic Thesis and Dissertation Repository
Recent evolution in the Internet of Things (IoT) and Cyber–physical systems (CPS) is expected to change everyday life of its users by enabling low latency and reliable communication, coordinated task execution and real time data processing among pervasive intelligence through the communication network. Precise time synchronization, as a prerequisite for a chronological ordering of information or synchronous execution, has become a vital constituent for many time-sensitive applications.
On one hand, Internet of Things (IoT) systems rely heavily on the temporal coherence among its distributed constituents during data fusion and analysis, however the existing solutions for data synchronization, do not easily …
Optimized And Automated Machine Learning Techniques Towards Iot Data Analytics And Cybersecurity, Li Yang
Optimized And Automated Machine Learning Techniques Towards Iot Data Analytics And Cybersecurity, Li Yang
Electronic Thesis and Dissertation Repository
The Internet-of-Things (IoT) systems have emerged as a prevalent technology in our daily lives. With the wide spread of sensors and smart devices in recent years, the data generation volume and speed of IoT systems have increased dramatically. In most IoT systems, massive volumes of data must be processed, transformed, and analyzed on a frequent basis to enable various IoT services and functionalities. Machine Learning (ML) approaches have shown their capacity for IoT data analytics. However, applying ML models to IoT data analytics tasks still faces many difficulties and challenges. The first challenge is to process large amounts of dynamic …