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Connectance and Reliability Computation of Wireless Body Area Networks using Signal Flow Graphs

نویسنده:
علی پیروی
,
Ali Peiravi
سال
: 2010
چکیده: Ambulatory monitoring and health care using wireless body area networks is an active area of applied research. In this study, a new method is presented to compute the connectance and reliability of wireless body area networks based on an improved approach to the topological analysis of the network s digraph using Mason s rule. The procedure outlined is simple and fast and may be used to compute quantitative measures of a wireless body area network s reliability.
یو آر آی: http://libsearch.um.ac.ir:80/fum/handle/fum/3401155
کلیدواژه(گان): Connectance,reliability,wireless body area network,signal flow graph
کالکشن :
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    Connectance and Reliability Computation of Wireless Body Area Networks using Signal Flow Graphs

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contributor authorعلی پیرویen
contributor authorAli Peiravifa
date accessioned2020-06-06T14:32:35Z
date available2020-06-06T14:32:35Z
date issued2010
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3401155?locale-attribute=fa
description abstractAmbulatory monitoring and health care using wireless body area networks is an active area of applied research. In this study, a new method is presented to compute the connectance and reliability of wireless body area networks based on an improved approach to the topological analysis of the network s digraph using Mason s rule. The procedure outlined is simple and fast and may be used to compute quantitative measures of a wireless body area network s reliability.en
languageEnglish
titleConnectance and Reliability Computation of Wireless Body Area Networks using Signal Flow Graphsen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsConnectanceen
subject keywordsreliabilityen
subject keywordswireless body area networken
subject keywordssignal flow graphen
journal titleLife Science Journalfa
pages52-56
journal volume7
journal issue2
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1017011.html
identifier articleid1017011
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