Availability measure model for Assistive Care Loop Framework using wireless sensor networks

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dc.contributor.author Balasubramanian, V
dc.contributor.author Hoang, DB
dc.date.accessioned 2012-02-02T11:06:11Z
dc.date.issued 2010
dc.identifier.citation Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010, 2010, pp. 281 - 286
dc.identifier.isbn 9781424471768
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16076
dc.description.abstract Nowadays, body area wireless sensor networks (BAWSNs) applications are increasingly being used in in-house health monitoring systems. These applications have stringent timing requirements and often run continuously without interruptions. Hence, it becomes imperative to determine the operational continuity of the BAWSN applications by measuring their availability. The BAWSN applications rely on the collection of data within a critical time from all of the source sensor nodes rather than the data from an individual source. Subsequently, the measure of availability for a BAWSN application should be based on the time and the data delivery from all the sensor nodes. Taking into account these specific characteristics and the constraints of the BAWSN, we develop a model to measure the availability of a BAWSN application based on the unavailable time. The proposed model is evaluated through a series of experiments conducted in our existing Assistive Care Loop Framework (ACLF). Furthermore, we also develop an analogous theoretical model to evaluate the availability of a BAWSN application. © 2010 IEEE.
dc.relation.isbasedon 10.1109/ISSNIP.2010.5706741
dc.title Availability measure model for Assistive Care Loop Framework using wireless sensor networks
dc.type Conference Proceeding
dc.parent Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010
dc.journal.number en_US
dc.publocation QUT, Brisbane, Australia en_US
dc.identifier.startpage 281 en_US
dc.identifier.endpage 286 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dc.for 030107 Sensor Technology (Chemical Aspects)
dc.personcode 010772
dc.percentage 100 en_US
dc.classification.name Sensor Technology (Chemical aspects) en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Intelligent Sensors, Sensor Networks and Information Processing en_US
dc.date.activity 20101207 en_US
dc.date.activity 2010-12-07
dc.location.activity Brisbane, Australia en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)


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