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November 20th 2003
Computer Laboratory > Research > Systems Research Group > NetOS > Seminars > November 20th 2003

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.

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.