DocumentCode :
1881466
Title :
Power supply energy optimization for ultra low-power wireless sensor nodes
Author :
Tanevski, M. ; Boegli, A. ; Farine, Pierre-Andre
Author_Institution :
Electron. & Signal Process. Lab., Ecole Polytech. Fed. de Lausanne, Neuchâtel, Switzerland
fYear :
2013
fDate :
19-21 Feb. 2013
Firstpage :
176
Lastpage :
181
Abstract :
The wireless sensor nodes are most energy-efficient when they operate at the minimal operating voltage. The nominal voltage of the batteries used is often significantly higher. This paper analyzes DC-DC power conversion from the point of view of ultra low-power wireless sensor nodes. Using a modified circuit of a suitable commercial DC-DC converter and a supercapacitor, this paper shows that it is possible to extend battery lifetime of a wireless sensor node for certain spectrum of applications. The efficiency of the DC-DC conversion as well as supercapacitor charge-discharge efficiency have been analyzed and measured. The influence of battery discharge currents and leakage currents is also presented. Furthermore, in this paper, we outline the specifications of a module needed between the battery and the sensor node that will be controlled by the node´s MCU and will keep the node operating at minimal operational voltage while at the same time maximizing the energy delivered from the battery to the node. Thus, this paper also aims at setting foundations for future development of an energy-optimization module for ultra low power wireless sensor nodes.
Keywords :
microcontrollers; secondary cells; supercapacitors; telecommunication power supplies; wireless sensor networks; DC-DC power conversion; battery discharge currents; battery lifetime; energy-optimization module; leakage currents; node MCU; power supply energy optimization; supercapacitor charge-discharge efficiency; ultra low-power wireless sensor nodes; wireless sensor network; Batteries; Current measurement; DC-DC power converters; Leakage currents; Supercapacitors; Voltage measurement; Wireless sensor networks; WSN energy optimization; energy efficiency in wireless sensor nodes; hybrid power supply in ultra-low power WSN; long battery autonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2013 IEEE
Conference_Location :
Galveston, TX
Print_ISBN :
978-1-4673-4636-8
Type :
conf
DOI :
10.1109/SAS.2013.6493581
Filename :
6493581
Link To Document :
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