| PROGRAM: March 11, 6:30 pm
Capital Center, Room 1315
(Entrances D1 and E will be open on the building's south side)
18640 Northwest Walker Road, Beaverton
(NW 185th and Walker) Subject: Optimized Autonomous Space In-situ Sensorweb for Volcano Monitoring Speaker: Dr. Wen Zhan Song Abstract: In response to NASA’s solicitation for Earth hazard monitoring sensorweb technology, a multidisciplinary team involving sensor network experts (Washington State University), space scientists (Jet Propulsion Laboratory), and Earth scientists (USGS Cascade Volcano Observatory), have developed a prototype dynamic and scalable hazard monitoring sensor-web and applied it to volcano monitoring. The combined Optimized Autonomous Space - In-situ Sensor-web (OASIS) has two-way communication capability between ground and space assets, uses both space and ground data for optimal allocation of limited bandwidth resources on the ground, and uses smart management of competing demands for limited space assets. It also enables scalability and seamless infusion of future space and in-situ assets into the sensor-web. The space and in-situ control components of the system are integrated such that each element is capable of autonomously tasking the other. Sensor-web data acquisition and dissemination is accomplished through the use of the Open Geospatial Consortium Sensorweb Enablement protocols. The in-situ network was deployed into the craters and around the flanks of Mount St. Helens in July 2009, and linked to the command and control of the Earth Observing One (EO-1) satellite. The in-situ network includes: 1) a testbed in-situ array with smart sensor nodes capable of making autonomous data acquisition decisions; 2) efficient self-organization algorithm of sensor-web topology to support efficient data communication and command control; 3) smart bandwidth allocation algorithms in which sensor nodes autonomously determine packet priorities based on mission needs and local bandwidth information in real-time; and 4) robustness and remote network management mechanisms. Biography Dr. Wen Zhan Song is an assistant professor in computer science at Washington State University - Vancouver, and the director of Sensorweb Research Laboratory in the School of Engineering and
Computer Science.
Dr. Song is an active sensor network researcher and educator with a consistent passion on transforming information acquisition and ambient intelligence paradigms. Since he joined WSU in 2005, he has received more than 2.5 million US dollars research funding support from NSF (including CAREER award), NASA, USGS, Boeing and Hong Kong, and published over 50 premium journal and conference articles. Dr. Song’s research has been featured in MIT Technology Review, Network World, Scientific America, New Scientist, National Geographic, etc. |
