MoteTrack: Robust, Decentralized Approach to RF- based Location Tracking Konrad Lorinz and Matt...
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Transcript of MoteTrack: Robust, Decentralized Approach to RF- based Location Tracking Konrad Lorinz and Matt...
MoteTrack: Robust, Decentralized Approach to RF-based Location Tracking
Konrad Lorinz and Matt Welsh
Harvard University, Division of Engineering and Applied Sciences
Presented by: Sarat Chandra Subramaniam
Why Track? Awareness of context (localization) adds
tremendous value.
In sensor networks, physical location of event is very important.
Tracking using radio: RADAR* Key idea: Signal Strength matching. Inputs:
Radio Map. Building Layout.
Offline cailbration: Tabulate <location, SS> information
Real-time location & tracking: Find best match to measured SS in table.
* Source: http://www.research.microsoft.com/~padmanab/talks/cambridge-radar-jan00.pdf
But why motes?
Inexpensive and low power Location detection can be incorporated to
sensor networks. Motes can be readily incorporated into
equipment and uniform.
Solution to outlined problems
Distribution of ‘reference signatures’ among beacon motes.
Decentralized location estimation protocol. Adaptive signature distance metric.
Putting it together Phase I: Initial set-up (performed once)
Placement of beacon motes at various locations. Construction of Signal Strength Map (reference
signature database). Distribution of these maps among beacon motes.
Phase II: Location Estimation (normal operation) Estimation of location of mobile motes.
Closing Remarks Adds location tracking capabilities (alone)
to motes and can be re-programmed on the fly.
Requires mobile motes to be connected to a computer.
Many extensions can be thought about, wait till we get a mote with more memory on board.