DocumentCode :
126789
Title :
Performance evaluation of the dependable properties of a Body Area Wireless Sensor Network
Author :
Balasubramanian, Vineeth ; Stranieri, Andrew
Author_Institution :
Centre for Inf. & Appl. Optimisation, Univ. of Ballarat, Ballarat, VIC, Australia
fYear :
2014
fDate :
6-8 Feb. 2014
Firstpage :
229
Lastpage :
234
Abstract :
Body Area Wireless Sensor Networks (BAWSNs) are self-organizing networks capable of monitoring health intrinsic data of a patient. BAWSNs extended with a healthcare application can be used to perform medical assessments by remotely monitoring patients. The accuracy of medical assessments fundamentally depends on the correctness of the data received from the BAWSN. However data errors may arise at the sensor or during transmission across the wireless sensor network Therefore it is imperative to measure the health intrinsic data of a patient precisely. The formulated measurable properties in our work precisely measure the performance of the BAWSN in a remote Healthcare Monitoring Application (HMA). In this paper, we collated various performances using the measurable properties in our real-time test-bed and presented a comprehensive evaluation of these properties in a BAWSN.
Keywords :
body area networks; body sensor networks; health care; patient monitoring; performance evaluation; telemedicine; BAWSNs; HMA; body area wireless sensor network; data errors; health intrinsic data monitoring; medical assessments; performance evaluation; real-time test-bed; remote healthcare monitoring application; self-organizing networks; Availability; Biomedical monitoring; Hospitals; Monitoring; Wireless sensor networks; BAWSN; availability; critical time; ehealth; reliability; remote healthcare monitoring application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on
Conference_Location :
Faridabad
Print_ISBN :
978-1-4799-3958-9
Type :
conf
DOI :
10.1109/ICROIT.2014.6798319
Filename :
6798319
Link To Document :
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