Personal Information:
Name: Matt Crane
College: Case Western Reserve
University
Major: Electrical Engineering
Planned Graduation Date: May 2005
SURE Program Information:
Office: 340 EIB
E-mail:
mattc@ces.clemson.edu or
matthew.crane@case.edu
Advisor:
Prof. Michael Pursley
My Research Project:
The research project I am currently working on is a combination of ad-hoc
wireless networking and spread spectrum communication. Ad-hoc networks are
different from the infrastructure based networks that we are more familiar
with. Infrastructure networks are based around access points that coordinate
all of the traffic between different nodes trying to communicate. Examples of
this infrastructure based system are the cellular communications network or
WiFi. In both of these systems there exists some sort of central 'brain' or
access point to coordinated efforts. In ad-hoc networks there are no access
points to coordinate communication between nodes. Instead, each node must
communicate with its neighbors to determine how data can be best transmitted
across the network. Ad-hoc networks are of special interest for military
applications as they don't require intensive infrastructure and are also more
resilient. If a single node fails in an ad-hoc network, the network can work
around that failure, however, if an access point fails in an
infrastructure-based network there are more significant repercussions.
Many ad-hoc wireless networks, especially in military applications, are
created around small, mobile, battery powered nodes. These nodes have limited
transmission range as well as limited battery life. Due to the battery life
constraints, it is imperative to optimize the signal transmission quality in
relation to the energy required for the transmission. One method of optimizing
this is through adaptive transmission protocols. When a signal is transmitted,
it must travel through a channel (the air) to the receiver. There are certain
characteristics that describe the channel, and like all real world
descriptions, they change as a function of time. For example, if the weather
changed from a clear, sunny day to an overcast drizzle, the channel would
change and the transmission would be impacted. The channel could also change
due to increased RF interference, movement of the nodes, or a number of other
factors. As the channel changes, several factors could be modified in the
transmission to to increase the signal quality while minimizing energy
consumption.
In this project I am working to simulate adaptive transmission in
direct-sequence spread-spectrum packet radio networks using Matlab. This work
is based off of a paper by Frederick J. Block and Michael B. Pursley that was
recently accepted for publication by the IEEE Transactions on
Communications.
Project Poster
Oral Presentation Slides