Network power scheduling for TinyOS applications

Authors:
Barbara Hohlt;Eric Brewer
Affiliations:
Electrical Engineering and Computer Sciences Department, University of California at Berkeley, Berkeley, CA;Electrical Engineering and Computer Sciences Department, University of California at Berkeley, Berkeley, CA
Venue:
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Year:
2006

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Abstract

This paper presents a study of the Flexible Power Scheduling protocol and evaluates its use for real-world sensor network applications and their platforms. FPS uses dynamically created schedules to reserve network flows in sensor networks allowing nodes to turn off their radio during idle times. We show that network power scheduling has high end-to-end packet reception and can achieve power savings of 2-5x for two well-known TinyOS applications over their existing power-management schemes, and over 150x compared with no power management. Twinkle is our second-generation implementation of FPS and provides additional application support.