Skip to Main content Skip to Navigation
Conference papers

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
1 Lab-STICC_UBS_CACS_MOCS
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.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.univ-brest.fr/hal-00782758
Contributor : Van-Trinh Hoang <>
Submitted on : Friday, February 22, 2013 - 11:44:19 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:23 PM
Long-term archiving on: : Sunday, April 2, 2017 - 4:09:50 AM

File

article_harsh_2013.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00782758, version 2

Citation

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⟩

Share

Metrics

Record views

338

Files downloads

738