Resumen

VEGA-GONZALEZ, I.  y  RAMIREZ-BELTRAN, J.. Function-oriented energy model for low power sensor nodes analysis. J. appl. res. technol [online]. 2022, vol.20, n.2, pp.142-159.  Epub 27-Ene-2023. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2022.20.2.1124.

When analyzing power consumption of Sensor Nodes, most of the existing energy models are constrained to narrow domains, which has made harder for researchers to establish fair comparisons among different sensor nodes having some similarities. This work presents a new energy model for low power sensor nodes, based on the analysis of their functional blocks rather than determining the energy of their independent hardware modules or using an approach based on the power consumption's behavior through time for the entire system. The model is general enough to include the majority of low power sensor nodes' applications by splitting their composing blocks into the power unit plus five blocks: Sensing & Acquisition Unit, Controlling Unit, Heading Unit, Low Power Processing Unit, and Storage Unit. The multi-level analysis approach allows making better energy-aware design strategies. All the necessary current measurements can be made on simple tasks performed in loop, which are easier to analyze with the proper current measurement method. For each unit, a review of the most recent techniques on analysis of low power systems is presented, as well as some of the most accepted low power principles to apply in sensor nodes. An analytical formulation is offered, and a case study is shown along with some important results on reduction of power consumption with usage of DMA, an increase on the CPU's clock frequency and choosing to store data on SD Card without file system

Palabras llave : energy modeling; low-power; sensor node; Low Power Sensor Node; MSP430; microcontroller.

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