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Flexible power scheduling for sensor networks
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Source Information Processing In Sensor Networks archive
Proceedings of the 3rd international symposium on Information processing in sensor networks table of contents
Berkeley, California, USA
SESSION: Oral presentation session III: energy efficient design table of contents
Pages: 205 - 214  
Year of Publication: 2004
ISBN:1-58113-846-6
Authors
Barbara Hohlt  University of California, Berkeley, CA
Lance Doherty  University of California, Berkeley, CA
Eric Brewer  University of California, Berkeley, CA
Sponsor
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 65,   Citation Count: 29
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ABSTRACT

We propose a distributed on-demand power-management protocol for collecting data in sensor networks. The protocol aims to reduce power consumption while supporting fluctuating demand in the network and provide local routing information and synchronicity without global control. Energy savings are achieved by powering down nodes during idle times identified through dynamic scheduling. We present a real implementation on wireless sensor nodes based on a novel, two-level architecture. We evaluate our approach through measurements and simulation, and show how the protocol allows adaptive scheduling and enables a smooth trade-off between energy savings and latency. An example current measurement shows an energy savings of 83% on an intermediate node.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  30

Collaborative Colleagues:
Barbara Hohlt: colleagues
Lance Doherty: colleagues
Eric Brewer: colleagues