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Context aware power...
Context aware power optimizations of wireless embedded Internet systems
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- Lundberg, Magnus (author)
- Luleå tekniska universitet,Signaler och system
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- Eliasson, Jens (author)
- Luleå tekniska universitet,EISLAB
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Svensson, Linus (author)
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- Lindgren, Per (author)
- Luleå tekniska universitet,EISLAB
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(creator_code:org_t)
- Piscataway, NJ : IEEE Communications Society, 2004
- 2004
- English.
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In: From the electrometer to the networked instruments. - Piscataway, NJ : IEEE Communications Society. - 078038248X ; , s. 91-95
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Abstract
Subject headings
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- A key issue in research around embedded Internet systems (EIS) is to reduce power consumption. We envision EIS devices with lifetimes in the range of months or even years. This calls for developing aggressive power management techniques with a high degree of context awareness. As a first step towards this goal we introduce a design methodology for making context aware power optimizations of EIS. The presented design methodology which is verified by experimental results is a promising first step in prolonging operating time of battery powered wireless EIS.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- Signalbehandling
- Signal Processing
- Industriell elektronik
- Industrial Electronics
- Inbyggda system
- Embedded System
Publication and Content Type
- ref (subject category)
- kon (subject category)
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