Networked and Embedded Systems Laboratory

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Portable wireless communication systems operate
on a limited battery supply, and energy efficiency is therefore
crucial. Voltage scaling techniques have been proposed to lower
the energy consumption of embedded processors and real-time
operating systems have incorporated these schemes in their task
scheduling engine. However, the actual data transmission itself
constitutes a major portion of the total energy consumption in
these wireless communication systems. In this paper, we extend
the scaling notion to the realm of wireless communications and
propose a novel technique called modulation scaling to decrease
the energy consumed during data transmission. Modulation
scaling trades off energy consumption against transmission
delay and as such, introduces the concept of energy awareness in
communications. We investigate how modulation scaling can be
exploited to design a dynamic power management engine at the
level of the radio. This engine coordinates the packet
transmission schedule while optimizing energy efficiency. We
demonstrate such a power management module for real-time
traffic and show that it reduces the energy consumption of data
transmissions by up to 50% through smart traffic scheduling.

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