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Summary: SenseBench: Toward an Accurate Evaluation of
Sensor Network Processors
Leyla Nazhandali, Michael Minuth, Todd Austin
The University of Michigan
1301 Beal Ave, Ann Arbor, MI 48109
subliminal@eecs.umich.edu
Abstract-- Sensor network processors introduce an unprece-
dented level of compact and portable computing. These small
processing systems reside in the environment which they monitor,
combining sensing, computation, storage, communication, and
power supplies into small form factors. Sensor processors have a
wide variety of applications in medical monitoring, environmental
sensing, industrial inspection, and military surveillance. Despite
efforts to design suitable processors for these systems, there
is no well-defined method to evaluate their performance and
energy consumption. The historically used MIPS (Millions of
Instructions Per Second) and EPI (Energy Per Instruction)
metrics cannot provide an accurate comparison because of their
dependence on the nature of instructions, which differ across
instruction set architectures. On the other hand, the current
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