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Wireless Sensor Networks. Jack Stankovic. University of Virginia. August, 2006. Ad Hoc Wireless Sensor Networks. Sensors Actuators CPUs/Memory Radio Minimal capacity 1000s. Self-organize. Mica2 and Mica2Dot. ATMega 128L 8-bit, 8MHz, 4KB EEPROM, 4KB RAM, 128KB flash
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Wireless Sensor Networks Jack Stankovic University of Virginia August, 2006
Ad Hoc Wireless Sensor Networks Sensors Actuators CPUs/Memory Radio Minimal capacity 1000s Self-organize
Mica2 and Mica2Dot • ATMega 128L 8-bit, 8MHz, 4KB EEPROM, 4KB RAM, 128KB flash • Chipcon CC100 multichannel radio (Manchester encoding, FSK). Up to 500-1000ft. Reality 50-100 feet when on the ground!
The Internet Gets Physical “Sensing technologies will be one of the hallmarks of this century” 1980 => decade of microcomputers 1990 => decade of the Internet 2000 => decade of WSN Exciting Potential
VigilNet – Military surveillance, tracking and classification AlarmNet – Assisted Living and Residential Monitoring Network Environmental Science Applications/Testbeds
Energy Efficient Surveillance System 1. An unmanned plane (UAV) deploys motes Zzz... Sentry 3. Sensor network detectsvehicles and wakes up the sensor nodes 2. Motes establish an sensor network with power management
Demo System Layout 300 meters, 30 motes each line, 4 non-uniform lines 2 0 Tent 2 0 0 M 200 XSM Motes 3 Bases (Tripwires) 300 by 200 Meters in T-shape Inter-tripwire communication Via 802.11 wireless LAN 1
Tracking multiple targets (people, vehicles, and then people and vehicles) 3 crossing people Vehicle followed by person 2 vehicles following each other about 50 meters apart Large versus small vehicles People and people with weapons Fault Tolerance/Robustness Kill 20% of the nodes Kill base stations Overview of Demo Scenarios
Florida For related other publications: www.cs.umn.edu/~tianhe
N Mote Field C&C 300M by 200 M T shape Berkeley
Spotlight - Localization μSpotlight (projector, Mica2 motes, laptop) – DEMO at ACM/IEEE IPSN 05 Spotlight (telescope mount, diode laser, XSM motes, laptop) (Sent to Berkeley) Demo at upcoming SenSys 2005
Two classes of nodes: sentries and non-sentries Sentries are awake Non-sentries can sleep Sentries Provide coarse monitoring & backbone communication network Sentries “wake up” non-sentries for finer sensing Sentry rotation Even energy distribution Prolong system life 3 4 2 1 Sentry-Based Power Management(SBPM)
Partition sensor network into multiple sections. Turn off all the nodes in dormant sections. Apply sentry-based power management in tripwire sections Periodically, sections rotate to balance energy. Dormant Active Dormant Dormant Dormant Active Dormant Dormant Active Active Tripwire-based Surveillance Road
Internet Scale WSN Programming Station Internet Server Server Local Transport Protocol Local Transport Protocol Nodes Nodes
System Architecture Programming Station Internet Server Server Local Transport Protocol Local Transport Protocol Nodes Nodes Information about Services, Interfaces Location
System Architecture High level Programming Language Programming Station EXE Internet High Level Virtual Machine High Level Virtual Machine Server Server Local Transport Protocol Local Transport Protocol Nodes Nodes Low Level Virtual Machine Low Level Virtual Machine
System Architecture Programming Station Internet Server Server Local Transport Protocol Local Transport Protocol Responsible for Resource management User access rights Nodes Nodes
System Architecture Programming Station The Physicalnet Omnix Physical Network Internet Server Server Local Transport Protocol Local Transport Protocol Nodes Nodes Omnix Physical Network
Medical System Architecture PDAs Internet Internet Nurses Stations
Flexible and Dynamic Privacy Security Form factors for sensor nodes Unobtrusiveness Mobility Routing for 2 mobile end points Localization In-network preliminary diagnoses Define and meet real-time requirements including alarms Power Management Data Association Research Questions
Fundamental and Important Problems Not incremental Application Driven Military Medical Environmental Experimental Systems Research Build Testbeds and Real Systems Summary - Research Approach
Wireless Networking Realities Localization Real-Time Hardware Privacy Security The crowded spectrum - Multi-frequency systems OS for WSN Summary - Our Research Areas Spatial Temporal Systems
Power Management Analysis Programming Languages Across networks of networks Acoustic Streaming and other High Level Services Real-Time Data Sharing Self-Healing Data Association Auto-calibration Pervasive Computing Our Research Areas
CMU UIUC Harvard Univ. of Minnesota Berkeley UVA Medical School Research Partners