License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.MCPS.2014.38
URN: urn:nbn:de:0030-drops-45215
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4521/
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Ringwelski, Martin ; Timm-Giel, Andreas ; Turau, Volker

Adaptive Failure Detection and Correction in Dynamic Patient-Networks

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Abstract

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 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.

BibTeX - Entry

@InProceedings{ringwelski_et_al:OASIcs:2014:4521,
  author =	{Martin Ringwelski and Andreas Timm-Giel and Volker Turau},
  title =	{{Adaptive Failure Detection and Correction in Dynamic Patient-Networks}},
  booktitle =	{5th Workshop on Medical Cyber-Physical Systems},
  pages =	{38--48},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-66-8},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{36},
  editor =	{Volker Turau and Marta Kwiatkowska and Rahul Mangharam and Christoph Weyer},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4521},
  URN =		{urn:nbn:de:0030-drops-45215},
  doi =		{10.4230/OASIcs.MCPS.2014.38},
  annote =	{Keywords: Wireless Sensor Networks, Fail-Safety, Health Monitoring, Failure Masking, Distributed Systems}
}

Keywords: Wireless Sensor Networks, Fail-Safety, Health Monitoring, Failure Masking, Distributed Systems
Collection: 5th Workshop on Medical Cyber-Physical Systems
Issue Date: 2014
Date of publication: 14.04.2014

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