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On Frequency Optimisation for Power Saving in WSNs

Andreea Picu 1, * Eric Fleury 2, 3 Antoine Fraboulet 4
* Corresponding author
1 ARES - Architectures of networks of services
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
3 DNET - Dynamic Networks
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
4 AMAZONES - Ambient Middleware Architectures: Service-Oriented, Networked, Efficient and Secured
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : One of the most challenging problems in wireless sensor networks (WSNs) research is energy management. We propose two concepts aiming at saving power in low duty cycle applications. We first suggest a methodology for using hardware timers effectively. Then, we provide a way to calculate microcontroller (µC) configurations with various clock frequency setpoints, while respecting several types of constraints imposed on these frequencies, e.g., by other components of the µC, by protocol specifications, by external factors. Our evaluation shows that this approach can respect constraints while saving as much as 11.12% of energy when compared to a popular WSN operating system (OS).
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https://hal.inria.fr/inria-00397376
Contributor : Eric Fleury <>
Submitted on : Monday, June 22, 2009 - 12:58:48 AM
Last modification on : Wednesday, July 8, 2020 - 12:42:43 PM

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  • HAL Id : inria-00397376, version 1

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Andreea Picu, Eric Fleury, Antoine Fraboulet. On Frequency Optimisation for Power Saving in WSNs. 14th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), IEEE Technical Committee on Real-Time Systems, Apr 2008, St Louis, United States. ⟨inria-00397376⟩

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