Networked and Embedded Systems Laboratory

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Abstract

Wireless networked embedded systems, such as
multimedia terminals, sensor nodes, etc., present a rich domain
for making energy/performance/quality tradeoffs based on application
needs, network conditions, etc. Energy awareness in these
systems is the ability to perform tradeoffs between available
battery energy and application quality requirements. In this
paper, we show how operating system directed dynamic voltage
scaling and dynamic power management can provide for such
a capability. We propose a real-time scheduling algorithm that
uses runtime feedback about application behavior to provide
adaptive power-fidelity tradeoffs. We demonstrate our approach
in the context of a static priority based preemptive task scheduler.
Simulation results show that the proposed algorithm results in
significant energy savings compared to state-of-the-art dynamic
voltage scaling schemes with minimal loss in system fidelity.
We have implemented our scheduling algorithm into the eCos
real-time operating system running on an Intel XScale based
variable voltage platform. Experimental results obtained using
this platform confirm the effectiveness of our technique.

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