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Adaptive failure detection and correction in dynamic patient-networks
Citation Link: https://doi.org/10.15480/882.2528
Publikationstyp
Conference Paper
Publikationsdatum
2014
Sprache
English
TORE-URI
First published in
Number in series
36
Start Page
38
End Page
48
Citation
OpenAccess Series in Informatics (36) : 38-48 (2014)
Publisher DOI
Scopus ID
Wireless sensors have been studied over recent years for different promising applications with high value for individuals and society. A good example are wireless sensor networks for patients allowing for better and more efficient monitoring of patients in hospitals or even early discharge form hospital and monitoring at home. These visions have hardly led research as reliability is and issue with wireless networks to be known error-prone. In life critical applications like health care this is not an aspect to be handled carelessly. Fail-safety is an important property for patient monitoring systems. The Ambient Assistance for Recovery (AA4R) project of the Hamburg University of Technology researches on a fail-safe patient monitoring system. Our vision is a dynamically distributed system using suitable devices in the area of a patient. The data in the network is stored with redundancy on several nodes. Patient data is analyzed in the network and uploaded to a medical server. As devices appear, disappear and fail, so do the services being executed on those devices. This article focuses on a Reincarnation Service (RS) to track the functionality of the processes. The RS takes suitable actions when a failure is detected to correct or isolate the failure. Checking of the nodes is done adaptively to achieve a good response time to failures and reduce the power consumption. © Martin Ringwelski, Andreas Timm-Giel, and Volker Turau.
Schlagworte
Distributed systems
Fail-safety
Failure masking
Health monitoring
Wireless sensor networks
DDC Class
380: Handel, Kommunikation, Verkehr
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