Publication Date: 2023/10/02
Abstract: IoT Video Streaming Classification Framework" is a structured taxonomy designed to comprehensively categorize and organize the multifaceted landscape of video streaming within the Internet of Things (IoT) ecosystem. This taxonomy encompasses a wide range of dimensions that play a pivotal role in defining and shaping video streaming applications across diverse IoT domains. These dimensions include the application domain, network architecture, video quality, latency requirements, device types, connectivity options, encoding and compression techniques, security and privacy considerations, scalability, analytics and AI integration, energy efficiency strategies, and data storage approaches. This classification framework serves as a valuable resource for IoT developers, researchers, and industry professionals seeking to understand, design, and implement video streaming solutions in IoT scenarios. By providing a systematic and organized structure, it facilitates the exploration of the nuanced considerations and choices involved in IoT video streaming applications, thereby aiding in the development of efficient, secure, and high-performance systems tailored to specific use cases within the IoT landscape.
Keywords: IoT, video streaming, taxonomy, domain, AI.
DOI: https://doi.org/10.5281/zenodo.8397990
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP1127.pdf
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