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Dr. Allen MacKenzie

Allen B. MacKenzie is currently an associate professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he has been on the faculty since 2003. He earned his Ph.D. in electrical engineering at Cornell University. Prof. MacKenzie\'s research focuses on wireless communications systems and networks. His current research interests include cognitive radio and cognitive network algorithms, architectures, and protocols and the analysis of such systems and networks using game theory. His past and current research sponsors include the National Science Foundation, the Defense Advanced Research Projects Agency, and the National Institute of Justice. Prof. MacKenzie is a senior member of the IEEE and a member of the ASEE and the ACM. In 2006, he received the Dean\'s Award for Outstanding New Assistant Professor in the College of Engineering at Virginia Tech. Prof. MacKenzie is a co-author of the book Game Theory for Wireless Engineers.

Title:Associate Professor
Organization:Virginia Tech
University Website:http://mackenab.ece.vt.edu/


Discovering Wireless Sensor Networks: Applications in Structural Health Monitoring, Part 3

This curriculum module is part of a set of four curriculum modules. The curriculum module can be adapted to be used alone, or used as part of the set. In this project, students learn about the importance of monitoring stresses on bridges and other civil infrastructure, and about how public safety can be improved by using wireless sensor networks for continuous structural health monitoring. This curriculum module, the third in the set, introduces topics in radio-frequency wireless data communications. The students learn how wireless communications makes it possible to continuously monitor civil infrastructure from a remote location. In the lab, they experiment with the design of random access medium access control protocols for wireless sensor networks, which enable multiple sensors to share a radio channel. In the process, they see design trade-offs involving complexity, efficiency, and fairness.

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