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Wireless
Hive Networks Symposium
Cooperative sensors, tags
and devices for intelligent measurement and control
Presentations and papers now available!
Held in conjunction with National Instrument's
NIWeek
Date: August
8, 2007
Wireless
Hive Networks (WHN) are local communities of wireless devices, in
potential volumes dwarfing memory chips, associated with items on
warehouse shelves, biomedical samples, border motion detectors, etc.
ZigBee is an example of hive protocols. This symposium brings together
researchers, engineers, and other practitioners to address WHN
protocols, power generation, semiconductor processes, and other WHN
production and efficient deployment issues.
The Wireless Hive Network Manifest
describes the motivation for this symposium topic.
Program:
Welcome,
Keynote:
Telehealth with wireless sensors |
Hanan
Potash, CTS SP/ComSoc Chair
Professor
William Kaiser, UCLA |
| Lunch
Panel: Energy Demand Management |
Brent
Hodges, ZigBee; Mark Strama, Texas State Representative; Joel Serface,
Clean Energy Incubator;
Tony Seth,
Duchossois Technology Partners |
| Security
and Privacy in RFID Systems |
Leon
Turner, Freescale |
| Capitalizing
on the 802.11 standard to enable low power wireless sensor networks |
Lew
Adams, GainSpan |
Time-Sensitive
Data Delivery in Harsh Wireless Environments using an
Aggregated Spatial Distribution Overlay on a Tree-based Mesh Network |
Martin
Turon, Crossbow |
| Smart
Energy Management Systems |
Jon
Adams and Matt Maupin, Freescale |
| At-Scale
Wireless Testbeds: Opportunities and Challenges |
Charles
Camp and Ashutosh Sabharwal, Rice University |
| WARP:
A Deployable, Programmable, Open-Access Wireless Platform |
Chris
Hunter and Ashutosh Sabharwal, Rice University |
| Secure
Routing Techniques to Mitigate Insider Attacks |
Rajendra
V Boppana, University of Texas at San Antonio |
| Wireless Sensor Networks for Health Monitoring |
Madhavi Adusumilli, Arturo Ayon, Paul Cotae, University of Texas at San Antonio
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On the Optimal Placement of Sensor Locations and Sensitivity Analysis for
Engine Health Monitoring Using Minimum Interference Algorithms
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Paul Cotae, Sireesha Yalamanchili and C.L. Philip Chen, University of Texas at San Antonio |
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