A Sense and Response System for Sensor Networks
Kenan Casey
Graduate Student
Department of Computer Science and Software Engineering
Auburn University
Abstract
The sense and response paradigm is a powerful model which has applications in various
fields. We have developed a system for sense and response in sensor networks. We have
applied it in the specific context of a tsunami warning and mitigation system, but many
other domains can make use of the sense and response sensor network architecture. The
system architecture emphasizes efficient communication, local route repair, and real-time
response. We extend the directed diffusion protocol to support three advanced network
services: efficient flooding, local path repair, and real-time communication. We increase
the efficiency of flooding, improve packet delivery rates in the presence of node failure,
and decrease the number of packets that miss their deadlines.
Bio
Kenan Casey is a Ph.D. student in computer science at Auburn University. He received a
Bachelor's degree in mathematics and computer science at Freed-Hardeman University,
Henderson, TN in 2004. In 2004, Kenan was awarded a GAANN Graduate Fellowship in
Wireless Technology from Auburn University. His interests include sensor networks and
computational intelligence.