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Cross-Domain Integration of home automation, entertainment, and e-Health using Wireless Sensor Network

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Instrumentation Technical Session

Tagged Division

Instrumentation

Page Count

7

Page Numbers

23.353.1 - 23.353.7

DOI

10.18260/1-2--19367

Permanent URL

https://peer.asee.org/19367

Download Count

415

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Paper Authors

biography

Xiaojing Yuan University of Houston (CoT)

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Dr. Xiaojing Yuan is Associate Professor in the Computer Engineering Technology program of Engineering Technology Department. She is the founder and director of the ISGRIN research lab and actively incorporating undergraduate research activities as part of final project requirements in several undergraduate junior and senior level courses dealing with sensors, instrumentation, and microprocessor hardware and software. Her research interest includes wireless sensor network, quality-of-service enhanced networking protocols, pattern recognition, and data mining.

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biography

Xiaohui Yuan University of North Texas

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Xiaohui Yuan received B.S. degree in Electrical Engineering from Hefei University of Technology, China in 1996 and Ph.D. degree in Computer Science from Tulane University in 2004. After his graduation, he worked at the National Institutes of Health (NIH) as a postdoctoral research scientist from 2005 to 2006 and joined the University of North Texas (UNT) in 2006. He is currently an Associate Professor in the Department of Computer Science and Engineering. He is a recipient of Ralph E. Powe Junior Faculty Enhancement award in 2008 and the Air Force Summer Faculty Fellowship in 2011 and 2012. He is a member of IEEE and SPIE.

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David Adam Harden

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Yang Lu

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Abstract

Cross-Domain Integration of home automation, entertainment, and e- Health using Wireless Sensor NetworkAbstractToday the way we work and live has been changed by the deployment of ubiquitous intelligentwireless sensor networks (WSNs), which integrate sensing, communication and computationcapabilities in one small node. Recent advances in WSN and other emerging technologies arepromoting a paradigm shift in the way that traditional domains such as entertainment, homeautomation or e-Health are understood. However, available technologies present different innatecharacteristics and are hard to integrate together for specific application domain. This studypresents a Smart Home System (SHSys) that achieved cross-domain integration of not onlydifferent WSN technologies, but also various smart home application domains. The SHSysaddresses one of the major challenges in the home automation system design: minimizing thepower consumption without compromising the customers comfort level. It combines hybrid-nodenetworking with web access in three-layer architecture. The system integrates TinyOS basedmotes deployed in mesh network and NI WSN nodes using star topology to monitor theenvironment and its own health status. The environment data includes temperature, humidity,light intensity, sound, motion, as well as the physiological signals such as body temperature andheart beats from a person. SHSys’ health status includes the networking reliability and the powerconsumption of each node that is battery powered. All the monitoring data are wirelesslycollected and visualized in LabVIEW program. The program then makes control decisions basedon the data collected and the set point values defined by the user, which are then distributed tothe specific actuators (fans, LED light, etc.) wirelessly. The SHSys Architecture provides theflexibility for future expansion by separating the sensing, networking, and controlling andvisualization. It can be easily adapted to support various courses in the science, engineering, andtechnology program from freshman to senior level. The demonstration of the project to ourjunior level instrumentation and measurement class is very successful. Students get to see howwhat they are learning can be used in real project that is highly relevant to their own life.

Yuan, X., & Yuan, X., & Harden, D. A., & Lu, Y. (2013, June), Cross-Domain Integration of home automation, entertainment, and e-Health using Wireless Sensor Network Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--19367

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