Increasing the autonomy of wireless sensor node by effective use of both DPM and DVFS methods

Author

Van-Trinh Hoang ; Julien, Nathalie ; Berruet, Pascal

Author_Institution

Lab.-STICC Res. Center, Univ. of South-Brittany, Lorient, France

fYear

2013

fDate

20-21 June 2013

Firstpage

1

Lastpage

4

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.

Keywords

energy conservation; energy consumption; energy management systems; ubiquitous computing; wireless sensor networks; Capnet-PE tool; DPM methods; DVFS methods; WSN; battery-powered devices; dynamic power dissipation; dynamic power manager; dynamic voltage and frequency scaling; exponential growth; hazardous gas detection; ubiquitous computing devices; wireless sensor node; Energy consumption; Field programmable gate arrays; Finite element analysis; Power dissipation; Switches; Wireless communication; Wireless sensor networks; Dynamic Power Manager (DPM); Dynamic Voltage and Frequency Scaling (DVFS); FPGA; Power Availability Manager (PAM); energy-efficiency;

fLanguage

English

Publisher

ieee

Conference_Titel

Faible Tension Faible Consommation (FTFC), 2013 IEEE

Conference_Location

Paris

Print_ISBN

978-1-4673-6105-7

Type

conf

DOI

10.1109/FTFC.2013.6577766

Filename

6577766