- News & Events
- Resources & Forms
Dr. Song’s research interest is in computer networks and distributed computing. In recent years, Dr. Song has been focused on Sensorweb systems for environment monitoring, smart environments, and smart grid applications, where real-time sensing, computing, communication, and control play a critical role and need a transformative study. Sensorweb is also called the "Internet of Things" or the "Web of Sensors" (or "Sensor Networks"). It is one of the top ten emerging technologies in the 21st century that will change the world (according to the MIT Technology Review). If the Internet is viewed as a circulatory system connecting the world, then Sensorweb can be said to be the nervous system sensing the world: extracting timely information for efficient decision support and quick corrective actions. Those technologies will directly contribute to the sustainability of our society by improving environmental safety, healthcare effectiveness, and energy efficiency.
Dr. Song established the Sensorweb Research Laboratory in 2005 with the vision of transforming information acquisition and ambient intelligence paradigms. His research on Sensorweb systems has received more than $6 million in research funding from NSF, NASA, USGS, and Boeing since 2005. His work has also attracted much media attention, including mentions in the MIT Technology Review, Network World, Scientific American, New Scientist, National Geographic, etc. In 2010, Dr. Song received an NSF CAREER Award as well as the Chancellor's Award for Research Excellence from Washington State University Vancouver. Details and updated information about his research projects can be found here.
W.-Z. Song, R. Huang, M. Xu, B. Shirazi, and R. LaHusen, Design and deployment of sensor network for real-time high-fidelity volcano monitoring, IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2010.
R. Tan, G. Xing, W.-Z. Song, and R. Huang, Quality-driven volcanic earthquake detection using wireless sensor networks, 31st IEEE Real-Time Systems Symposium (IEEE RTSS), 2010.
G. Lu, D. De, and W.-Z. Song, SmartGridLab: a laboratory-based smart grid testbed, 1st IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm), 2010.
G. Lu, D. De, M. Xu, J. Cao, and W.-Z. Song, TelosW: enabling ultra-low power wake-on sensor network, 7th IEEE International Conference on Networked Sensing Systems (IEEE INSS 2010).
W.-Z. Song, R. LaHusen, R. Huang, A. Ma, M. Xu, and B. Shirazi, Air-dropped sensor network for real-time high-fidelity volcano monitoring, 7th Annual International Conference on Mobile Systems, Applications and Services (ACM MobiSys 2009).
W.-Z. Song, R. Huang, B. Shirazi, and R. LaHusen, TreeMAC: Localized TDMA MAC protocol for high-throughput and fairness in sensor networks, 7th Annual IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom 2009).
A. Kiely, M. Xu, W.-Z. Song, R. Huang, and B. Shirazi, Adaptive linear filtering compression for realtime sensor networks, 7th Annual IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom 2009).
Y. Wang, W. Wang, X.-Y. Li, and W.-Z. Song, Interference-aware joint routing and TDMA link scheduling for static wireless networks, IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol. 19, no. 12, December 2008, pp. 1709–1726.
W. Wang, Y. Wang, X.-Y. Li, W.-Z. Song, and O. Frieder, Efficient interference-aware link scheduling for wireless networks, 12th Annual International Conference on Mobile Computing and Networking (ACM MOBICOM 2006).
W.-Z. Song, X.-Y. Li, and W. Wang, A unified energy-efficient topology for unicast and broadcast, 11th Annual International Conference on Mobile Computing and Networking (ACM MOBICOM 2005).