School of Humanities and Informatics University of Skövde 1 Information Fusion Demonstrator WSN testbed setup May 14 th 2008 Gunnar Mathiason
School of Humanities and Informatics University of Skövde 2 Infrastructure for Information Fusion (IF) Generic IF infrastructure issues –What components? –What fusion? Where? Why use a WSN testbed? –Collecting data for IF research –Data aggregation by using fusion algorithms –Central vs. distributed IF –Scalability validation –Own WSN research is secondary
School of Humanities and Informatics University of Skövde 3 Scenario
School of Humanities and Informatics University of Skövde 4 Equipment available, IF lab 21 TelosB, 21 MICAz (TinyOS) 1 Nokia N800, 4 Nokia N810 (Maemo)
School of Humanities and Informatics University of Skövde 5 Demonstrator First step: Visualize sensor data with N800 –Show signal quality, light, sound values –Sensors at other motes than gateway mote Second step: Visualize other N800s sensor data –Communicate between multiple N800 –Visualize resource usage and adaptiveness for data Third step: Replication between N800s –Database on Maemo, and database replication –Visualize database data at PC similarily
School of Humanities and Informatics University of Skövde 6 Projects 1.Integration of communication + Visualize sensors –Maemo connects to TinyOS –Nokia: USB, Bluetooth, WiFi –MICAz/TelosB: USB, Distributed database on Maemo –Replication as added layer 3.Sensor integration for MICAz/TelosB –Exensor /Umra sensor –Agroväst /Soil sensor
School of Humanities and Informatics University of Skövde 7 1. Integration of communication (first) Gateway mote via Tmote Connect and WiFi RJ45USB WiFi Tmote Connect
School of Humanities and Informatics University of Skövde 8 1. Integration of communication (wanted) on Maemo WiFi
School of Humanities and Informatics University of Skövde 9 Companies Exensor –Single sensor unit, Vehicle detection –Security/Military application –Distributed Fusion! Agroväst –Precision agriculture –Fusion of past /current /prediction data! SAAB Microwave –Situation awareness –Safe harbor, Safe public events Anomaly detection, Decision support