Wireless body area network platform utilizing energy-efficient routing of physiological data

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dc.contributor.advisor Tsouri, Gill
dc.contributor.advisor Kwasinski, Andres
dc.contributor.advisor Shenoy, Nirmala
dc.contributor.advisor Dianat, Sohail
dc.contributor.author Prieto, Alvaro
dc.date.accessioned 2012-02-03T19:50:36Z
dc.date.available 2012-02-03T19:50:36Z
dc.date.issued 2011-09-23
dc.identifier.uri http://hdl.handle.net/1850/14654
dc.description.abstract Wireless Body Area Networks (WBANs) consist of several wireless sensors located around a human body. These sensors may measure several biological signals, movement, and temperature. Due to major improvements in power consumption and constantly shrinking devices, WBANs are becoming ubiquitous. As a side effect present because of the small form factor of these devices, the battery size is limited. While the sensors themselves may be extremely power efficient, all of the measured data must be transmitted over a much less efficient wireless link. One benefit of WBANs is that they rarely include more than a dozen wireless devices over a small area. This constraint allows for the use of routing techniques not suitable for larger wireless sensor networks(WSNs). Presented in this work is a novel global routing algorithm link-cost function to maximize network lifetime in WBANs. Also included are a basic software framework for developing WBANs, a sample Wireless Electrocardiogram (ECG) application, and a simple link cost algorithm development platform. en_US
dc.language.iso en_US en_US
dc.subject Algorithm en_US
dc.subject Energy efficient en_US
dc.subject Routing en_US
dc.subject WBAN en_US
dc.subject Wireless en_US
dc.subject.lcc TK5103.2 .P74 2011
dc.subject.lcsh Wireless communication systems--Energy consumption en_US
dc.subject.lcsh Ad hoc networks (Computer networks) en_US
dc.subject.lcsh Routing protocols (Computer network protocols) en_US
dc.subject.lcsh Medical telematics en_US
dc.subject.lcsh Body area networks (Electronics) en_US
dc.title Wireless body area network platform utilizing energy-efficient routing of physiological data en_US
dc.type Thesis en_US
dc.description.college Kate Gleason College of Engineering en_US
dc.description.department Electrical and Microelectronic Engineering Department en_US

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