An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques,...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dominik Widhalm [verfasserIn] Karl M. Goeschka [verfasserIn] Wolfgang Kastner [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	sensor node fault diagnosis node-level energy-efficiency wireless sensor network

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 22, p 7613
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:22, p 7613

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21227613

Katalog-ID:	DOAJ01333445X

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authorswithroles_txt_mv	Dominik Widhalm @@aut@@ Karl M. Goeschka @@aut@@ Wolfgang Kastner @@aut@@
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callnumber-first	T - Technology
author	Dominik Widhalm
spellingShingle	Dominik Widhalm misc TP1-1185 misc sensor node misc fault diagnosis misc node-level misc energy-efficiency misc wireless sensor network misc Chemical technology An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications
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topic	misc TP1-1185 misc sensor node misc fault diagnosis misc node-level misc energy-efficiency misc wireless sensor network misc Chemical technology
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title	An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications
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title_auth	An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications
abstract	In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.
abstractGer	In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.
abstract_unstemmed	In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.
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title_short	An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications
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