DocumentCode
2611870
Title
Energy-Aware FPGA-based Architecture for Wireless Sensor Networks
Author
Grassi, Paolo Roberto ; Sciuto, Donatella
Author_Institution
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
fYear
2012
fDate
5-8 Sept. 2012
Firstpage
866
Lastpage
873
Abstract
Wireless sensor networks (WSNs) are networks of battery-powered sensing devices connected with wireless interfaces. Energy consumption and processing efficiency are relevant characteristics for these systems, thus energy-efficient architectures are required. Recent works show that FPGAs are suitable candidates for efficient data signal processing in WSNs. In this work, we evaluate Flash-based FPGA technology for WSNs´ applications, and we present FPGA-based architecture for data signal processing in WSN´s nodes. Low static power consumption of Flash-FPGAs is a fundamental characteristic in WSNs systems, which are characterized by long idle periods. SRAM-based and Flash-based FPGAs were compared, and an architecture to manage dynamic energy consumption in Flash-based FPGAs is presented. The architecture has been validated and evaluated on a real testbed, and power consumption results are presented. In our experiments, the overall power consumption of the FPGA is kept below 4mW.
Keywords
SRAM chips; field programmable gate arrays; flash memories; signal processing; wireless sensor networks; SRAM-based FPGA; WSN nodes; WSN systems; battery-powered sensing devices; data signal processing; dynamic energy consumption management; energy consumption; energy-aware FPGA-based architecture; energy-efficient architectures; flash-based FPGA technology; power consumption; wireless interfaces; wireless sensor networks; Clocks; Field programmable gate arrays; Microcontrollers; Power demand; Random access memory; Switches; Wireless sensor networks; Flash FPGAs; Power Consumption; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital System Design (DSD), 2012 15th Euromicro Conference on
Conference_Location
Izmir
Print_ISBN
978-1-4673-2498-4
Type
conf
DOI
10.1109/DSD.2012.50
Filename
6386984
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