DocumentCode :
1621974
Title :
Power management techniques in an FPGA-based WSN node for high performance applications
Author :
Lombardo, M. ; Camarero, J. ; Valverde, J. ; Portilla, J. ; de la Torre, E. ; Riesgo, T.
Author_Institution :
Centre of Ind. Electron., Tech. Univ. of Madrid, Madrid, Spain
fYear :
2012
Firstpage :
1
Lastpage :
8
Abstract :
In this work, the power management techniques implemented in a high-performance node for Wireless Sensor Networks (WSN) based on a RAM-based FPGA are presented. This new node custom architecture is intended for high-end WSN applications that include complex sensor management like video cameras, high compute demanding tasks such as image encoding or robust encryption, and/or higher data bandwidth needs. In the case of these complex processing tasks, yet maintaining low power design requirements, it can be shown that the combination of different techniques such as extensive HW algorithm mapping, smart management of power islands to selectively switch on and off components, smart and low-energy partial reconfiguration, an adequate set of save energy modes and wake up options, all combined, may yield energy results that may compete and improve energy usage of typical low power microcontrollers used in many WSN node architectures. Actually, results show that higher complexity tasks are in favor of HW based platforms, while the flexibility achieved by dynamic and partial reconfiguration techniques could be comparable to SW based solutions.
Keywords :
energy management systems; field programmable gate arrays; low-power electronics; microcontrollers; random-access storage; wireless sensor networks; RAM-based FPGA; SW based solution; complex processing task; complex sensor management; data bandwidth; encryption; energy saving; extensive HW algorithm mapping; high-end WSN application; image encoding; low power design requirement; low power microcontroller; partial reconfiguration technique; power islands smart management technique; video camera; wireless sensor network; Computer architecture; Field programmable gate arrays; Microcontrollers; Power demand; Random access memory; Wireless sensor networks; FPGA based WSN node; energy management; low power design; partial reconfiguration; power islands;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2012 7th International Workshop on
Conference_Location :
York
Print_ISBN :
978-1-4673-2570-7
Electronic_ISBN :
978-1-4673-2571-4
Type :
conf
DOI :
10.1109/ReCoSoC.2012.6322888
Filename :
6322888
Link To Document :
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