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A train has derailed
at the edge of a city, spreading toxic chemicals and fumes over
a wide area. Before rescue and decontamination workers can enter
the danger zone, they need more information: How widespread is the
contamination? Where are the hotspots? Where and how are toxic gases
moving?
A
helicopter swoops over the area, releasing a flurry of tiny devices,
each about the size of a dime. They contain sensors that sample
the air for toxins and tiny radio transceivers that allow them to
communicate with one another and report to a van at the fringe of
the disaster area. Inside the van, a screen lights up showing where
the contamination is and how it's spreading.
Such a system is the goal of a new research
project at Cornell University that brings together molecular biologists,
device physicists, telecommunications engineers, information and
game theorists, and civil engineers to develop ‘self-configuring’
sensor networks for disaster recovery. The project, involving researchers
from Cornell and the Wadsworth Center of the New York State Department
of Health, is funded by a $2.5 million, five-year Information Technology
Research (ITR) grant from the National Science Foundation (NSF).
While initial research will focus on the detection
of biohazards, the underlying principles can be applied to many
other situations, including searches for earthquake victims (using
audio and body-heat sensors) and monitoring of municipal water systems
for leaks or contamination, according to Stephen Wicker, Cornell
professor of electrical and computer engineering, who heads the
research team.
In the aftermath of a disaster one of the most
pressing needs is for information, Wicker explains. Because often
it would be dangerous or even impossible to collect data manually,
the plan is to create an automated self-configuring remote sensor
network. The idea grew out of studies of how such networks could
be used on the battlefield, Wicker notes, but the NSF project focuses
on civilian applications.
The project will operate on several
levels at once:
Sensors: Two types of biosensors
are being developed that will detect a variety of agents, including
toxins and bacteria, using biological material incorporated into
silicon microcircuits. One type uses a membrane topped with binding
sites like those on the surface of a living cell, layered onto a
silicon microcircuit. When a molecule, such as a neurotoxin, binds
to the surface a protein channel is opened allowing ions to flow
through the membrane, creating an electrical signal detected by
the underlying circuit. The other sensor under development contains
antibodies placed between tiny electric contacts. When an agent
such as a virus, bacteria or spore binds to the antibody, the current
flowing between the contacts is altered.
Communication: To keep size
and power requirements small, the devices will communicate using
very-low-power radio signals, allowing each device to reach only
a few others in its immediate neighbourhood. Rather than using GPS
(global positioning system) technology, which would add weight and
power requirements, the sensors will use the strength and direction
of radio signals from their neighbours to map their locations. To
report in, signals will be relayed from one device to another until
they reach a human operator at the edge of the territory. In theory,
the ‘reachout point’ could be a van, a low-flying aircraft
or even a satellite.
Self-configuration: The engineers
will draw on game theory - which deals with how a group of individuals
interacts and competes for resources - to program the devices to
work together. The devices will decide, for example, the order and
direction in which messages should be relayed, avoiding redundant
signals. If the coverage mapping shows that some areas are not covered,
the network will be able to call for the deployment of additional
sensors.
Applications: The researchers
will draw on case histories of earthquake effects, accidents in
crowded urban environments and the aftermath of the World Trade
Center attack to develop prototype applications, which in turn will
determine the design of the sensors and networks. This work will
draw on a database developed by the Multidisciplinary Center for
Earthquake Engineering Research at the University of Buffalo and
on interviews with experienced rescue workers, including some who
worked in the wreckage of the World Trade Center.

•Date:
26th November 2003 •Region: N.America •Type:
Article •Topic:
Disaster recovery
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