Transcript TeamTrak uses cheap commodity equipment and software, so it is

TeamTrak: A Test Bed for
Mobile Ad-Hoc Networks
Hardware/software test bed to enable a variety of
projects in wireless, mobile, social, and geo- computing.
Hardware: 32 tablet PCs plus with sensor helmet (GPS +
compass + camera) and accelerometer on the foot.
Software: Collects sensor data, shares data with
neighbors via multi-hop ad-hoc network over WiFi.
TeamTrak allows us to explore concepts relevant to
current and proposed mobile computing systems:
– Cellular phones reporting sensor data.
– Mobile cartography data collection units.
– US Army Future Force Warrior.
Our focus is on the algorithms, systems, and software,
using simple commodity hardware.
Tablet PC
USB Hub
Garmin
GPS-18
PNI V2Xe
Compass
Watchport
USB Camera
Pedometer
(3-axis accel)
TeamTrak uses cheap commodity equipment and software,
so it is easy to swap in a higher quality camera, newer PC, etc.
Research Challenges in TeamTrak
Robust Navigation:
– Problem: GPS works fine on the open road, but is very inaccurate when
obstructed by trees and buildings.
– Solution: Share multiple sources of location data over the network to
improve location quality: e.g. peer GPS, pedometer, compass, fixed
bases, (road signs?)
Mining Mobile Social Networks:
– Problem: How do humans self-organize, share information? How do
emergencies influence human behavior? What patterns can be inferred
for an autonomic, dynamic, and reactive system?
– Solution: Design efficient learning and predictive algorithms to discover
community structures and anomalous. Integrate data collection, analysis
and discovery into an action-oriented predictive framework.
Managing Large-Scale Image Sets:
– Problem: It is very easy to acquire TB of image data, but it is much
harder to store, manage, and explore it. Bottleneck is I/O bandwidth.
– Solution: Employ massively parallel active storage clusters to archive,
index, and search large datasets. Move small code to large data,
instead of vice versa. Provide new languages for manipulation
People Involved in TeamTrak
Prof. Douglas Thain
– Faculty in distributed systems and storage systems.
Prof. Christian Poellabauer
– Faculty in mobile and real time systems.
Prof. Nitesh Chawla
– Faculty in machine learning and data mining.
Maj. Jeffrey Hemmes, USAF
– Ph.D student studying robust navigation.
Rory Carmichael
– B.S. student working on testing and image acquisition.
http://www.nd.edu/~teamtrak