2026-05-29T22:30:36Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1556202024-12-20T18:25:12Zoai_pmh:alloai_pmh:repo_items155620
https://hdl.handle.net/2286/R.I.44275
http://rightsstatements.org/vocab/InC/1.0/
All Rights Reserved
2017
xiv, 224 pages : illustrations (some color)
Doctoral Dissertation
Academic theses
Text
eng
Seema, Adolph
Reisslein, Martin
Kitchen, Jennifer
Seeling, Patrick
Zhang, Yanchao
Arizona State University
Partial requirement for: Ph.D., Arizona State University, 2016
Includes bibliographical references (pages 206-224)
Field of study: Electrical engineering
Video capture, storage, and distribution in wireless video sensor networks <br/><br/>(WVSNs) critically depends on the resources of the nodes forming the sensor <br/><br/>networks. In the era of big data, Internet of Things (IoT), and distributed <br/><br/>demand and solutions, there is a need for multi-dimensional data to be part of <br/><br/>the Sensor Network data that is easily accessible and consumable by humanity as<br/><br/>well as machinery. Images and video are expected to become as ubiquitous as is <br/><br/>the scalar data in traditional sensor networks. The inception of video-streaming<br/><br/>over the Internet, heralded a relentless research for effective ways of <br/><br/>distributing video in a scalable and cost effective way. There has been novel<br/><br/>implementation attempts across several network layers. Due to the inherent <br/><br/>complications of backward compatibility and need for standardization across <br/><br/>network layers, there has been a refocused attention to address most of the <br/><br/>video distribution over the application layer. As a result, a few video <br/><br/>streaming solutions over the Hypertext Transfer Protocol (HTTP) have been <br/><br/>proposed. Most notable are Apple’s HTTP Live Streaming (HLS) and the Motion <br/><br/>Picture Experts Groups Dynamic Adaptive Streaming over HTTP (MPEG-DASH). These<br/><br/>frameworks, do not address the typical and future WVSN use cases. A highly <br/><br/>flexible Wireless Video Sensor Network Platform and compatible DASH (WVSNP-DASH)<br/><br/>are introduced. The platform's goal is to usher video as a data element that<br/><br/>can be integrated into traditional and non-Internet networks. A low cost, <br/><br/>scalable node is built from the ground up to be fully compatible with the <br/><br/>Internet of Things Machine to Machine (M2M) concept, as well as the ability to<br/><br/>be easily re-targeted to new applications in a short time. Flexi-WVSNP design<br/><br/>includes a multi-radio node, a middle-ware for sensor operation and <br/><br/>communication, a cross platform client facing data retriever/player framework, <br/><br/>scalable security as well as a cohesive but decoupled hardware and software <br/><br/>design.
Engineering
Adaptive
DASH
Dynamic
HLS
IoT
Sensor
Streaming video
Wireless sensor networks
Streaming technology (Telecommunications)
Machine-to-machine communications
Flexi-WVSNP-DASH: a wireless video sensor network platform for the Internet of Things