| Abstract: |
Wireless sensor networks (WSN) is an emerging technology that has many current and future promising applications ranging from environment monitoring, battlefield surveillance, health care, home automation and so on. A wireless sensor network is composed of a large number of distributed sensor nodes. Although each sensor is characterized by low power constraint and limited computation and communication capabilities, potentially powerful networks can be constructed to accomplish various high-level tasks with sensor collaboration, such as distributed estimation, distributed detection, and target localization and tracking. To make wireless sensor networks really work, distributed and collaborative signal processing is one of the key technologies. Specifically, in this talk, I will talked about rate-constrained distributed estimation problem, where local quantization at sensor nodes, joint estimation at the fusion center, and optimal tradeoff between the number of active sensors and the quantization bit rate for each sensor are addressed to minimize the estimation mean square error.
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| Bio: |
He received the B.S. degree and M.S. degree in electronic engineering from Tsinghua University, Beijing, China, in 2001 and 2004, respectively. Since August 2004, he has been with the School of Electrical and Computer Engineering in Georgia Institute of Technology to pursue his Ph.D. degree. His general research interests include multimedia signal processing, and distributed signal processing in wireless sensor networks.
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