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Alliance Aims To Rethink Network Computing and Communications
As part of a newly formed alliance of international
scientists, Rensselaer researchers will be exploring advanced
technologies for wireless sensor networks in urban
environments. The consortium, which is funded through the
United States Army Research Laboratory and the United Kingdom
Ministry of Defence, will receive up to $138 million over the
next 10 years to rethink network computing and communications.
Boleslaw Szymanski, professor of computer science and director
of the Center for Pervasive Computing and Networking at
Rensselaer, will lead a team supported by $1.85 million of the
total project funding.
The International Technology Alliance (ITA) in Network and
Information Sciences is led by IBM and includes top researchers
from industry, academia, and government. The project’s goal is
to enhance the ability of coalition forces to make flexible
battlefield decisions using secure networks of sensors. But
while it is mainly directed toward military applications, the
fruits of the fundamental research are expected to find use in
a broad spectrum of civilian contexts.
Szymanski is leading one of 12 projects within the ITA
consortium. In collaboration with researchers from the
University of Southampton, CUNY, LogicaCMG, and IBM
laboratories in both the United States and the United Kingdom,
he will investigate ways of managing complexity in sensor data
infrastructures. “We are going to take what we already know
about sensor network protocols and infrastructure and think
creatively about the future designs,” Szymanski said. “The goal
is to start from scratch and totally rethink every aspect of
this technology.”
His team will be looking at networks containing a variety of
different sensors, including audio, visual, radar, and chemical
sensors. “With information coming from these different sources,
we need to know how to make them collaborate to provide the
best information while minimizing the chance that they will be
detected,” Szymanski said. Each communication within a sensor
network uses energy and resources, so the goal is to develop
extremely efficient algorithms that keep the number of
communications to a minimum.
“In urban environments, you can expect a lot of sensor
failures,” Szymanski said. He compares the situation to a
crowded lecture hall with one person communicating to many
listeners: some people inevitably get stuck sitting behind a
column; the speaker turns toward the chalk board and does not
project his voice; or everybody in the audience tries to answer
a question at the same time, creating chaos. Szymanski’s team
hopes to design sensor network algorithms that address similar
communication problems among nodes in a wireless sensor
network.
Three Rensselaer students will be working on the project
under Szymanski’s supervision: Joel Branch and Mark Lisee, both
doctoral students in computer science; and Kamil Wasilewski, an
undergraduate studying computer science.
Published
September 25,
2006
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