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Wireless integrated microsystems rely heavily on the availability of
low-power microelectronics for control, data processing, and communication.
Power-efficient circuit design enables small form factors/low-cost,
as well as long-battery-life (or opens up the possibility of energy
scavenging). The micropower circuits thrust aims at greatly reducing
the power budgets of integrated circuits using a range of techniques
that are suitable for incorporation into generic microsystems. Both
digital and analog circuits are targeted, with primary emphasis on the
digital processing domain. Furthermore, the thrust includes low-power
compilation work, as well as the software development for the WIMS testbeds.
Highlights are given below:
The biomedical and environmental testbeds are being supported by the
thrust through the development of the WIMS microcontroller, which can
be viewed as the "brain" of the microsystems. The 2nd-generation
microcontroller (µC) is the centerpiece, and there are supporting
projects around it in the area of compilers, software, and digital signal
processing. The DSP core is now built into the microcontroller making
the WIMS µC equally applicable to the two testbeds. Interface
circuits are also being designed and will be used for testing of the
next-generation environmental testbed. There is also collaboration between
this thrust and wireless interfaces in that many of the wireless techniques
being investigated in the latter thrust are using novel low-power approaches.
A second major component of the thrust is the pursuit of fundamental
research to support the WIMS mission of a generic microsystem platform.
Specifically, researchers in the thrust are pursuing energy-scavenging
techniques, microbatteries, and hybrid power sources. Furthermore, there
is substantial work ongoing in the area of nanoWatt-level data storage,
computation, and wireless communication to support ubiquitous sensing
applications. Finally, there is an underlying layer of investigation
into basic ultra-low-power circuit design techniques that will be required
for meeting highly constrained power budgets in future microsystems.
Many of these projects are coming together in an intra-ocular pressure
sensor platform for glaucoma research.
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