10.15480/882.2528
Ringwelski, Martin
Martin
Ringwelski
1162090596
Timm-Giel, Andreas
Andreas
Timm-Giel
0000-0002-5998-6113
113592385X
Turau, Volker
Volker
Turau
0000-0001-9964-8816
122165527
Adaptive failure detection and correction in dynamic patient-networks
TUHH Universitätsbibliothek
2014
Distributed systems
Fail-safety
Failure masking
Health monitoring
Wireless sensor networks
Handel, Kommunikation, Verkehr
TUHH Universitätsbibliothek
TUHH Universitätsbibliothek
2019-09-23
2019-09-23
2014
en
Conference Paper
OpenAccess Series in Informatics (36) : 38-48 (2014)
http://hdl.handle.net/11420/3404
urn:nbn:de:gbv:830-882.048414
10.15480/882.2528
10.4230/OASIcs.MCPS.2014.38
https://creativecommons.org/licenses/by/3.0/
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.