Congestion Control for Sensor Networks
Andrew Campbell
Sensor networks operate under light load and then suddenly become active in
response to a detected or monitored event. This results in large, sudden and
correlated impulses of data being generated that must be delivered to a
small set of sinks without significantly disrupting the fidelity of the
sensing application. It is during these impulse periods that congestion
is likely and the information being carried of most importance. We believe
that without solving the congestion problem the wide-scale adoption of self
organizing sensor network technology could be jeopardized. In this talk
we will discuss this problem and detail one proposal for alleviating it
called CODA (COngestion Detection and Avoidance).
This is work carried out with Chieh-Yih Wan and Shane B. Eisenman.
Bio:
Andrew T. Campbell is an Associate Professor of Electrical Engineering at
Columbia University and a member of the COMET Group. Andrew is working on
emerging architectures and programmability for wireless networks. He
received his Ph.D in Computer Science in 1996, and the NSF CAREER Award for
his research in programmable mobile networking in 1999. Currently, he is on
sabbatical as an EPSRC Visiting Fellow at the Computer Lab, Cambridge
University.
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