The field of wireless sensor networks offers many interesting
applications involving autonomous use of compute, sensing, and
wireless communication. In this talk, I discuss the design tradeoffs
that arise when applying wireless peer-to-peer networking techniques
in a mobile sensor network designed for wildlife tracking. We plan
to deploy a 30-node ZebraNet system at Princeton's Mpala Research
Centre in central Kenya.
ZebraNet system includes custom tracking collars (nodes) carried by
animals under study across a large, wild area; the collars operate
as a peer-to-peer network to deliver logged data back to
researchers. The collars include global positioning system (GPS),
Flash memory, wireless transceivers, and a small CPU; essentially
each node is a small, wireless, computing device. Since there is no
cellular service or broadcast communication covering the region
where animals are studied, ad hoc, peer-to-peer routing is needed.
Overall, our goal is to use the least energy, storage, and other
resources necessary to maintain a reliable system with a very high
'data homing' success rate. More broadly, we believe that the
domain-centric protocols and energy tradeoffs studied for ZebraNet
will have general applicability in other wireless and sensor
Margaret Martonosi is currently an Associate Professor at Princeton
University, where she has been on the faculty in the Department of
Electrical Engineering since 1994. Her research interests are in
computer architecture and the hardware/software interface. When not
out zebra-chasing, Martonosi and her group do research on
power-efficient microarchitectures and power-adaptive systems.
Martonosi earned her Ph.D. from Stanford University in 1993, and
also holds a Master's degree from Stanford and a bachelor's degree
with distinction from Cornell University, all in Electrical
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