DocumentCode :
3340912
Title :
A modular power-aware microsensor with >1000X dynamic power range
Author :
Schott, Brian ; Bajura, Michael ; Czarnaski, Joe ; Flidr, Jaroslav ; Tho, Tam ; Wang, Li
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Arlington, VA, USA
fYear :
2005
fDate :
38457
Firstpage :
469
Lastpage :
474
Abstract :
We introduce a power-aware microsensor architecture supporting a wide operational power range (from <1 mW to >10 W). The platform consists of a family of modules that follow a common set of design principles. Each module includes a local power microcontroller, power switches, and isolation switches to enable independent power-down control of modules and module subsystems. Processing resources are scaled appropriately on each module for their role in the collective system. Hard real-time functions are migrated to the sensor and radio modules for improved power efficiency. The optional Linux-based processor module supports high duty cycling and advanced sleep modes. Our reference hardware implementation is described in detail in this paper. Seven different modules have been developed. We utilize an acoustic vehicle tracking application to demonstrate how the architecture operates and report on results from field tests on tracked and wheeled vehicles.
Keywords :
Linux; energy conservation; microcontrollers; microsensors; power control; radio tracking; vehicles; Linux-based processor module; acoustic vehicle tracking application; advanced sleep mode; duty cycle; hard real-time function; independent power-down control; isolation switch; local power microcontroller; modular power-aware microsensor; module subsystem; operational dynamic power range; power efficiency; power switch; radio module; resource processing; wheeled vehicle; Acoustic sensors; Computer architecture; Dynamic range; Magnetic sensors; Microcontrollers; Microsensors; Monitoring; Target tracking; Vehicle detection; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on
Print_ISBN :
0-7803-9201-9
Type :
conf
DOI :
10.1109/IPSN.2005.1440975
Filename :
1440975
Link To Document :
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