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Zug, Sebastian; Dietrich, André; Kaiser, Jörg
An Architecture for a Dependable Distributed Sensor System (Article)
IEEE Transactions on Instrumentation and Measurement, 60 Issue 2, pp. 408 – 419, 2011.
(Abstract | BibTeX | Tags: Dependability, Fault Tolerance, Sensor Systems)
@article{EOS-2011.000-ZDK,
title = {An Architecture for a Dependable Distributed Sensor System},
author = {Sebastian Zug and André Dietrich and Jörg Kaiser},
year = {2011},
date = {2011-02-01},
journal = {IEEE Transactions on Instrumentation and Measurement},
volume = {60 Issue 2},
pages = {408 — 419},
publisher = {IEEE Instrumentation and Measurement Society},
abstract = {In future smart environments mobile applications will ?nd a dynamically varying number of networked sensors that offer their measurements results. This additional information supports a mobile robot to operate faster, with a higher precision and enhanced safety. The potentially increased redundancy obtained in such scenarios however is seriously affected by new uncertainties. Firstly, the dependency on wireless communication introduces new latencies and faults and secondly, the sensors of the environment may be of low quality or even faulty. Therefore this quality has to be assessed dynamically. Our work aims at providing a generic programming abstraction for fault-tolerant sensors and fusion nodes that copes with the varying quality of measurements and communication.},
keywords = {Dependability, Fault Tolerance, Sensor Systems}
}
In future smart environments mobile applications will ?nd a dynamically varying number of networked sensors that offer their measurements results. This additional information supports a mobile robot to operate faster, with a higher precision and enhanced safety. The potentially increased redundancy obtained in such scenarios however is seriously affected by new uncertainties. Firstly, the dependency on wireless communication introduces new latencies and faults and secondly, the sensors of the environment may be of low quality or even faulty. Therefore this quality has to be assessed dynamically. Our work aims at providing a generic programming abstraction for fault-tolerant sensors and fusion nodes that copes with the varying quality of measurements and communication.
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