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SensIT : Sensor Information Technology PM: Sri Kumar DARPA/ITO

MOUT Sensor Net in Buildings. Rats, Crawlers. SensIT : Sensor Information Technology PM: Sri Kumar DARPA/ITO. Untethered micro sensors will go anywhere and measure anything - traffic flow, water level, number of people walking by, temperature. This is developing into

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SensIT : Sensor Information Technology PM: Sri Kumar DARPA/ITO

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  1. MOUT Sensor Net in Buildings Rats, Crawlers SensIT: Sensor Information TechnologyPM: Sri KumarDARPA/ITO Untethered micro sensors will go anywhere and measure anything - traffic flow, water level, number of people walking by, temperature. This is developing into something like a nervous system for the earth, a skin for the earth. The world will evolve this way. Horst Stormer Lucent Technology, Inc. 21 Ideas for the 21st Cent. Business Week. 8/23-30, 1999 PI Meeting October 7-8 Marina Del Ray CA Program Emphasis: Sensor Networking for DOD and National Security UAV Sensors Micro UAV -Man Portable Sensors Ground Sensors Disposable Sensors Network Underwater deployable sensors

  2. Large Scale Micro Sensor NETWORKING Software Integration Experimentation user • Challenge Example: • Ground Moving Targets • Fast Detection Tracking • Low-Latency Networking Query/Tasking Collaborative Signal Processing SensIT:Sensor Information Technology Mission Networking and Software for Distributed Micro Sensors. Theater (Low-Latency) Surveillance CBM(Low-Cost) Different Requirements

  3. Networking • Requirements • Self assembled, Scalable, Dynamic • Minimal configuration • No large route tables • Optimized: Energy, BW • Survivable, Secure • New Ideas • Diffusion Networking • Local/neighbor interactions • Directed • Gradients Latency Energy Survivability ? Best Operating regimes? Deployment Density/Size? scaling effects

  4. Querying and Tasking • Develop Simple User Interface • Query/Tasking Language • GUI Q/T • Query/Task processing • Distributed • Distributed micro database • Data Organization • Placement and Caching • Scalable - Devices, Query. • Capacity • Response Time? • How many signatures?

  5. Exploit Dense Spatial Sampling • Networked Consensus • Distributed Algorithms • Asynchronous • Progressive accuracy • Efficient: energy, BW, MIPs • Deployment Density • Detection efficiency • Returns to Scale? • Average/Square mile? Collaborative Signal Processing Post-collaboration Single node Accuracy: S/N density

  6. This Meeting • Today (Oct 7th): 4 sessions • Networking (Estrin) • Networked Signal Processing (Sri) • Special Talk: Al Oppenheim • Query/Tasking; Sensorware (Sheshadri) • New Ideas/Challenges/Clients (Kaminski) [**Eve: special groups - PIs only] • Tomorrow (Oct 8th): 3 sessions • Platform/Hardware: current and future (Parker) • Smart Spaces (Graff) • Integration/Experimentation (BBN) [**After Lunch: PIs Only]

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