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Increasing the autonomy of Wireless Sensor Node by effective use of both DPM and DVFS methods

Van-Trinh Hoang 1, * Nathalie Julien 2, * Pascal Berruet 2, *
* Corresponding author
2 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : The use of ubiquitous computing devices like Wireless Sensor Networks (WSNs) has increased with an exponential growth in recent years, due its low-cost, portability, easy deployment, self-organization. Since WSNs are battery-powered devices, thus main challenge faced by designers is reduction of energy consumption in WSNs. This paper presents an effective implementation of Dynamic Power Manager (DPM) and Dynamic Voltage and Frequency Scaling (DVFS) technics to increase the autonomy of wireless sensor node by reducing dynamic power dissipation. Simulation with the application of hazardous gas detection using Capnet-PE tool indicates significant energy-saving, which allows us to evaluate and validate our approach for WSN.
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https://hal.univ-brest.fr/hal-00823924
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  • HAL Id : hal-00823924, version 1

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Van-Trinh Hoang, Nathalie Julien, Pascal Berruet. Increasing the autonomy of Wireless Sensor Node by effective use of both DPM and DVFS methods. 12th Edition of IEEE Faible Tension Faible Consommation - IEEE FTFC 2013, Jun 2013, Paris, France. pp.xx-yy. ⟨hal-00823924⟩

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