Kaisen Lin and Neil Turner and Mark Kranz and Stephen Burgess

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2006-23

March 16, 2006

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-23.pdf

We describe the design and implementation of Savia, a sensor network system for measuring the sap flow of eucalyptus trees. Unlike prior sensor network systems, which generally take a vertically integrated approach and build everything from scratch, Savia is built out of several existing sensor systems. The difficulties we encountered when combining these systems demonstrate why a vertically integrated approach is more common. Based on our experiences composing Savia, we suggest two key abstractions that an OS should provide in order to allow sensor networks to grow beyond the current approach of writing everything from scratch.

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BibTeX citation:

@techreport{Lin:EECS-2006-23,
    Author= {Lin, Kaisen and Turner, Neil and Kranz, Mark and Burgess, Stephen},
    Title= {Measuring the Sap Flow of Eucalyptus Trees},
    Year= {2006},
    Month= {Mar},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-23.html},
    Number= {UCB/EECS-2006-23},
    Abstract= {We describe the design and implementation of Savia,
a sensor network system for measuring the sap flow of
eucalyptus trees. Unlike prior sensor network systems,
which generally take a vertically integrated approach and
build everything from scratch, Savia is built out of several
existing sensor systems. The difficulties we encountered
when combining these systems demonstrate why
a vertically integrated approach is more common. Based
on our experiences composing Savia, we suggest two key
abstractions that an OS should provide in order to allow
sensor networks to grow beyond the current approach of
writing everything from scratch.},
}

EndNote citation:

%0 Report
%A Lin, Kaisen 
%A Turner, Neil 
%A Kranz, Mark 
%A Burgess, Stephen 
%T Measuring the Sap Flow of Eucalyptus Trees
%I EECS Department, University of California, Berkeley
%D 2006
%8 March 16
%@ UCB/EECS-2006-23
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-23.html
%F Lin:EECS-2006-23