Termine unter: http://www.informatik.uni-hamburg.de/Info/Kolloquium/
_____________________________________________________________
*
Computational Sensor Networks
*
_____________________________________________________________
Prof. Thomas C. Henderson
School of Computing
University of Utah
Montag, 3. November 2008
um 17 Uhr c.t.
Vogt-Kölln-Straße 30
Konrad-Zuse-Hörsaal
Gebäude B
Computational sensor networks (CSN) provide a conceptual framework
which offers insight into the design, analysis, development and
execution of distributed sensing and actuation systems. The method
depends on a set of models describing the constituent components:
sensors, actuators, computation, communication, and physical
phenomena.
The standpoint from which this work proceeds is that CSNs are
measurement systems which are embedded in a continuous phenomenon for
which they build or exploit models, and which can perform experiments
to validate those models. There should be well-defined measurement
goals, as well as error measures, and mechanisms (algorithms) to
reduce the error to within a desired tolerance. Furthermore, nodes
are generally viewed as equivalent; that is, all have the same
computational, sensing, energy, and communication power, run the same
algorithms, and are otherwise interchangeable; of course, the roles
played by individual nodes in a specific computation may differ.
CSN offers a unique vantage point as well with respect to the physical
phenomena in which the system is embedded. Given a valid forward
solution for the phenomenon of interest (e.g., the heat equation), it
may be possible to formulate questions about the structure of the
sensor network as inverse problems. For example, the heat equation
gives rise to a set of nonlinear equations whose solution solves the
sensor node localization problem.
This talk will describe our work which has mainly addressed the
creation of an information layer on top of the sensor nodes. This
includes distributed algorithms for leadership protocols,
coordinate frame and gradient calculation, reaction-diffusion
pattern formation, level set methods to compute shortest paths
through the net, and sensor node localization using inverse models.
Kontakt
Prof. Dr. J. Zhang
Telefon +49 40 428 83 2431
---------------------------------------------------------------
Informatisches Kolloquium Hamburg
Department Informatik
Vogt-Kölln-Straße 30
22527 Hamburg
http://www.informatik.uni-hamburg.de/Info/Campus/Informatik.gif
Tel. +49 40 42883 2401
_______________________________________________
Kolloquium mailing list
Kolloquium@mailhost.informatik.uni-hamburg.de
https://mailhost.informatik.uni-hamburg.de/mailman/listinfo/kolloquium
_______________________________________________
Hiforum-verteiler mailing list
Hiforum-verteiler@informatik.uni-hamburg.de
https://mailhost.informatik.uni-hamburg.de/mailman/listinfo/hiforum-verteiler