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Design under Constraints of Availability and Energy for Sensor Node in Wireless Sensor Network

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 : Wireless Sensor Network (WSN) technology has been getting a lot of attention in recent years due to its low-cost, portability, easy deployment, self-organisation, and reconfigurability. Two main challenges faced by designers are availability and power/energy management for WSN. This paper presents a design for a wireless sensor node, which provides automated reconfiguration for both availability and energy-efficient use. This design introduces an original device named Power and Availability Manager (PAM) combined with a FPGA. The first one is considered as the intelligent part for the best use of energy and fault-tolerance, while the other enhances the availability in case of hardware failure for a node. Simulation model of these solutions together is based on General Stochastic Petri Net (GSPN). The results indicate a gain of availability from 9% to 31% for sensor node over twelve years, from 9% to 46% for sensor cluster over eighteen years, from 11% to 45% for whole network over fifty years. Our approach also results in significant energy-saving : up to 61% by using DPM policy, and up to 62.5% by using DPM and DVFS policies over seven days. These results allow us to evaluate and to show a design of WSN node for increased availability as well as energy-saving by using our approach
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Submitted on : Sunday, December 23, 2012 - 7:42:16 PM
Last modification on : Monday, March 14, 2022 - 11:08:10 AM
Long-term archiving on: : Sunday, March 24, 2013 - 2:50:09 AM


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  • HAL Id : hal-00768442, version 1


Van-Trinh Hoang, Nathalie Julien, Pascal Berruet. Design under Constraints of Availability and Energy for Sensor Node in Wireless Sensor Network. IEEE International Conference on Design and Architectures for Signal and Image Processing (DASIP), October 2012, Oct 2012, Karlsruhe, Germany. pp.E-ISBN : 978-2-9539987-4-0. ⟨hal-00768442⟩



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