IIS-0448284
Cetintemel, Ugur <ugur@cs.brown.edu>
Brown University
Autonomous sensing/actuation applications will use sensors to observe
the world around them, process the data they gather to reach
conclusions and make decisions, and use actuators to affect the world
on the basis of those decisions, all potentially without any human
involvement. These applications significantly extend the scope of
today's sensor networks, which are used primarily to ease data
collection for offline analysis by humans. The goal of this project is
to design and build a data-centric software infrastructure and
pertinent abstractions, mechanisms and protocols that significantly
simplify the structuring and implementation of robust and efficient
autonomous applications.
The system enables developers to easily specify application-specific
data acquisition, processing, dissemination, and actuation logic using
a flexible set of high-level computational primitives. The system
translates these global specifications to code and protocols
executable by individual network nodes and then automatically
distributes and executes them reliably and efficiently using a novel
set of algorithms. The system can employ both generic and
application-specific optimization techniques to improve its operation,
as these specifications are logical and do not indicate where and how
execution should take place.
Broader impacts of the proposal include significant graduate and
undergraduate course development, the recruitment of undergraduates
into research, integration of research and teaching through graduate
courses, introduction of state-of-the-art research ideas into
undergraduate courses, public dissemination of educational materials
and research results, and development of publicly-accessible tools and
infrastructures that facilitate learning, discovery, innovation, and
solutions to real problems.
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