Referenced Items are not available for this document.
Faults in WSN are very common and appear in different levels of the system. For pervasive applications to be adopted by end-users there is a need for autonomic self-healing. This paper discusses our initial approach to self-healing in WSN and describes experiments with two case studies of body sensor deployment. We evaluate the impact of sensor faults on activity and gesture classification accuracy respectively and develop mechanisms that will allow detection of those faults during systempsilas operation.
Published in:
Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on
Date of Conference: 3-5 June 2009
- Page(s):
- 15 - 20
- Print ISBN:
- 978-0-7695-3644-6
- INSPEC Accession Number:
- 10844822
- Conference Location :
- Berkeley, CA
- Digital Object Identifier :
- 10.1109/BSN.2009.14
- Product Type:
- Conference Publications
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