Please join the Department of Computer Science and Electrical Engineering
for a presentation by Yi Qian on Thursday, March 23 at 1:45 in EMCS 203.

Modeling Wireless Ad Hoc Communication Networks
===============================================

There has been a great deal of work on ad-hoc network communications and
protocol issues, and research is ongoing to expand the scope and quality of
service of these communication systems. The performance of ad-hoc network
systems is normally studied via simulation over a fixed time horizon using a
steady-state type of statistical analysis procedure. However, due to the
dynamic nature of the network topology such an approach may be inappropriate
in many cases as the network may spend most of the time in a transient or
non-stationary state. The objective of this research is to develop a
performance modeling framework and detailed techniques for analyzing the
time varying performance of mobile ad-hoc communication networks. Our
approach is a hybrid of discrete event simulation and numerical analysis
techniques. Network queues are modeled using fluid-flow based differential
equation models which are solved using numerical methods, while node
mobility is modeled using either discrete event simulation techniques or
stochastic modeling of adjacency matrix elements. Extensions to the basic
model include incorporating energy consumption, interference and propagation
effects into the hybrid modeling framework to improve its fidelity.
Additionally the models can serve as the basis for the application of
control theory techniques to develop dynamic network control algorithms.


===============================
Andy Novobilski, Ph.D.
Assoc. Prof. & Dept. Head
UT Chattanooga Computer Science
    & Electrical Engineering
(423) 425-4202
http://www.utc.edu/faculty/Andy-Novobilski

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