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Localized Application for Video Capture for a Multimedia Sensor Node with Name-Based Segment Streaming


Abstract The Internet of Things (IoT) has become a more pervasive part of everyday life. IoT networks such as wireless sensor networks, depend greatly on the limiting unnecessary power consumption. As such, providing low-power, adaptable software can greatly improve network design. For streaming live video content, Wireless Video Sensor Network Platform compatible Dynamic Adaptive Streaming over HTTP (WVSNP-DASH) aims to revolutionize wireless segmented video streaming by providing a low-power, adaptable framework to compete with modern DASH players such as Moving Picture Experts Group (MPEG-DASH) and Apple’s Hypertext Transfer Protocol (HTTP) Live Streaming (HLS). Each segment is independently playable, and does not depend on a manifest file, resul... (more)
Created Date 2018
Contributor Khan, Zarah (Author) / Reisslein, Martin (Advisor) / Seema, Adolph (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Subject Computer engineering / Communication Networks / HLS / IoT / MPEG-DASH / Video / WVSNP-DASH
Type Masters Thesis
Extent 85 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Engineering 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis