Mission-Critical Management of Mobile Sensors (or,
How to Guide a Flock of Sensors)
Written with Goce Trajcevski and Peter Scheuermann.
Abstract:
This work addresses the problem of optimizing
the deployment of sensors in order to ensure
the quality of the readings of the value
of interest in a given (critical) geographic region.
As usual, we assume that each sensor is
capable of reading a particular physical phenomenon
(e.g., concentration of toxic materials
in the air) and transmitting it to a server
or a peer. However, the key assumptions considered
in this work are: 1. each sensor is
capable of moving, where the motion may be
remotely controlled; and 2. the spatial range
for which the individual sensors reading is
guaranteed to be of a desired quality is limited.
In scenarios like disaster management
and homeland security, in case some of the
sensors dispersed in a larger geographic area
report a value higher than a certain threshold,
one may want to ensure a quality of the
readings for the affected region. This, in turn,
implies that one may want to ensure that there
are enough sensors in the affected region and,
consequently, guide a subset of the rest of the
sensors towards the affected region. In this
paper we explore variants of the problem of
optimizing the guidance of the mobile sensors
towards the affected geographic region and we
present algorithms for their solutions.
Related Publications:
Copyright © 2004, Hervé Brönnimann, hbr@poly.edu
Postscript) (
PDF)