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On-line self-diagnosis based on power measurement for a wireless sensor node

Van-Trinh Hoang 1, * Nathalie Julien 1, * Pascal Berruet 1, * 
* Corresponding author
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : A self-diagnosis design for wireless sensor node is a big challenge for designers. Particularly, when sensor nodes are deployed in harsh environment, it's very difficult for human to intervene in case of hardware failure of node components. In this paper, we present our novel self-diagnosis for the discrete event systems (DES) like sensor node, which includes a complete strategy of self-diagnosis based on both functional and nonfunctional tests. Our approach helps sensor node to detect automatically its component failure, and then to take a corrective solution. And then, the implementation of our approach in the real material, which is based on the results of power measurement of node component, is presented. Finally, we also indicate how to optimize our self-diagnosis to make it more energy-efficient.
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Submitted on : Friday, February 22, 2013 - 11:44:19 AM
Last modification on : Monday, March 14, 2022 - 11:08:10 AM
Long-term archiving on: : Sunday, April 2, 2017 - 4:09:50 AM


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  • HAL Id : hal-00782758, version 2


Van-Trinh Hoang, Nathalie Julien, Pascal Berruet. On-line self-diagnosis based on power measurement for a wireless sensor node. First IEEE Workshop on Highly-Reliable Power-Efficient Embedded Designs, Feb 2013, Shenzhen, China. p. xx-xx. ⟨hal-00782758v2⟩



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