|
|
||||
|
|
|
|||
| Sieve |
Sieve is a data analysis tool to facilitate
the analysis and processing of sensor networks data streams. It
provides tunable parameters that allow the developer to quickly
design classifiers. More...
|
|||
| Clairvoyant: Wireless, Embedded, Source-level Debugging |
 Clairvoyant is the first comprehensive
source-level debugger for WSNs. It provides standard debugging
commands, including break, step, watch, and
backtrace as well as new, special-purpose commands that deal
with interrupts, conditional breakpoints, and new global
commands such as gstop and gcontinue. More...
|
|||
| FATS Attack: Timing and Fingerprint-based Snooping Attacks |
 We demonstrated
that we can eavesdrop on wireless devices in a home and extract
private information, even when all of the wireless data is encrypted,
with a Fingerprint and Timing-based
Snooping attack, or a FATS attack.
Experiments on four houses demonstrate that we can infer when and how
often the bathroom and kitchen are visited, when the person is
sleeping, and when the home is occupied with 90-100\% accuracy. More...
|
|||
| Macro-Programming | Macro-programming allows a developer to program a sensor network as if it were a single computer. The user produces simple, sequential scripts in a high-level language, and the compiler/run-time system automaically decompose it into node-level behaviors which are programmed onto each node. More... | |||
| MetroNet |
 MetroNet The MetroNet project will consist of sensors deployed in the storefront windows of downtown Charlottesville. The sensors can be used by the store owners, city customers, city planners, real estate customers, etc. More...
|
|||
| Psiren | Psiren enables one to rapidly wake a network of sleeping nodes. Most power-conserving sensor networks are very slow to wake up, forcing a trade-off between network response time and network lifetime. Psiren modifies the MAC policies so that the wake-up message propagates as quickly as possible and then wakes the entire network in parallel. More... | |||
| Stream Search |
Stream Search brings search technology to
streams of sensor data. Existing search technology is based primarily
on text and hyperlinks, but sensor data is a challenge for search
because it is primarily numeric. We are using data mining techniques
to create the algorithmic equivalant of hyperlinks between data
streams. More...
|
|||
| Marionette: Wireless, Embedded Scripting & Debugging |
 Marionette is a development
tool for wireless embedded networks. It provides a tight coupling
between the program running on the wireless nodes and a python user
environment, so that the programmer can call functions and read/write
variables on the nodes from within a python shell or script. This
provides unprecedented run-time visibility and control for wireless
embedded devices, and can be used to rapid application prototyping
and/or debugging. More...
|
|||
| Hood: a Distributed Programming Abstraction |
 Hood is the first
neighborhood-based programming abstraction for sensor networks. It
performs neighbor discovery, neighbor list management, and data
sharing automatically, allowing the programmer to access the data
values of neighboring nodes through a Get/Set interface, instead of
through messaging protocols. More...
|
|||
| Semantic Streams |
Semantic Streams is a system that allows people to pose
semantic queries over sensor data. It produces logical
interpretations of data, in contrast to most query systems which
produce the data itself or mathematical aggregations of the data,
e.g. the user queries for the number of cars or trucks that pass
through an intersection instead of raw magnetometer values. More...
|
|||
| Collision Detection and Recovery |
 This is the first collision detection scheme for wireless
networks. This scheme can 1) differentiate between packet loss due to
collisions vs. bad link quality 2) identify the nodes that caused the
colllision 3) recover one of the packets from the collision. Until
now, all wireless MAC protocols assumed that collision detection was
not possible. More....
|
|||
| Localization |
 This work in
localization has several components, including hardware for acoustic
and ultrasonic ranging, collections of acoustic, ultrasound, and RSSI
ranging data from multiple different environments, a simulator called
"silhouette" that simulates a localization deployment given an
empirical ranging profile, and quantitative comparisons of
localization with different models of ranging, different algorithms,
and different environments. More...
|
|||
| Tracking |
 In the pursuer-evader game (PEG), a vehicle (the
evader) is driven through a sensor field that tracks its location and
routes it to another device (the pursuer) that tries to autonomously
capture the evader. In August 2005, we deployed PEG using passive
infrared (PIR) sensors to track any moving object in an area covering
50,000 square meters with over 550 solar-powered sensor nodes. More...
|
|||
| Calibration |
 This
sensor network calibration technique allows each node to calibrate its
sensor using the actuators of its neighbors. This creates an
over-constrained system from which calibration coefficients can be
inferred even in the face of some noise from both the sensors and
actuators. More...
|
|||
| Load Monitoring and Energy Conservation | A sensor network monitoring device usages can over time derive usage patterns. This project aims to combine household-wide device load monitoring with other forms of environmental detection and awareness, such as occupancy sensors. More... | |||
|
|
|
|||
|
Kamin Whitehouse Computer Science Department The University of Virginia 217 Olsson Hall Charlottesville, Virginia 94720 |