| 08:15-08:45 |
BREAKFAST |
| 08:45-09:00 |
OPENING:
Welcome, Expectations,
Feng Zhao, Xerox PARC and Sri Kumar,
DARPA/ITO |
| 09:00-09:15 |
Introduction
to Collaborative Signal Processing
Feng Zhao, Xerox PARC |
| 09:15-10:10 |
SESSION
1: Power-aware signal processing/radio
(15min) Srivastava, UCLA, Power
considerations for distributed sensor nets
(15min) Prasanna, USC, Energy
efficient adaptive beamforming on sensor networks
(25min) Discussion |
| 10:10-11:10 |
SESSION
2: Space-time algorithms/array signal processing
(15min) Kyriakakis, USC, Array
audio signal processing and virtual microphones
(15min) Yao, UCLA, Blind
beamforming using randomly distributed sensors
(30min) Discussion |
| 11:10-11:30 |
BREAK |
| 11:30-12:30 |
SESSION
3: Distributed signal processing
(20min) Papadopoulos, U Maryland,
Resource-efficient
encoding communication and fusion in wireless networks of sensors and actuators
(10min) Ramchandran, Berkeley, Distributed
compression for sensor nets
(30min) Discussion |
| 12:30-01:30 |
LUNCH |
| 01:30-02:30 |
SESSION
4: Sensor fusion and collaborative tracking
(15min) Fisher, MIT, Information theoretic
sensor fusion with application to automatic target recognition
(15min) Guibas, Xerox PARC/Stanford,
From
tracking pixels to tracking predicates
(15min) Sussman, MIT, Biologically-inspired
organization for robust distributed systems
(15min) Discussion |
| 02:30-02:50 |
BREAK |
| 02:50-03:50 |
SESSION
5: Collaborative tracking and benchmarks
(15min) Herrick, Alphatech, Toward
the goal of continuous track and identity
(20min) Reich, Xerox PARC, Benchmarks
for tracking algorithms in distributed sensor nets
(25min) Discussion |
| 03:50-04:50 |
PANEL:
Panelists: Blatt, Friedland, Haussecker,
Papadopoulos, Pottie, Sayeed, Theriault
Position statement: 5 minutes each,
focusing on one of the following questions:
1. (Theriault, Friedland, Sayeed) What
can we sense using networks of distributed sensors (e.g. is CPA all we
need to transmit)? What properties of targets should we sense?
2. (Blatt,
Haussecker) What is optimal placement/density of sensors for a given tracking
or classification problem? What are the advantages/disadvantages of using
simple, densely populated nodes versus powerful, sparsely deployed nodes?
3. (Pottie,
Papadopoulos) What are the tradeoff curves for power, communication bandwidth,
and delay? How can a network of sensors adaptively allocate resources? |
| 04:50-05:00 |
Summary, Action
Items |
| 05:00-05:45 |
Xerox PARC
Collaborative Sensing Lab Tour |
| 05:45 |
Depart/self-organizing
dinner groups |
|
