Seminar: ECE Faculty Candidate
Wednesday March 7 11:00 - 11:50 AM Kelley 1007 Min Dong Corporate Research and Development Qualcomm Inc. Data Retrieval and Inference in Wireless Sensor Networks: A Signal Processing Perspective Developing intelligent wireless sensor networking techniques enables us to realize the prominent potential of sensor networks in managing our physical environment. Many characteristics unique to sensor networks, however, pose great challenges to achieving this goal. One of them is the inherent data redundancy, specifically, high spatial correlation, among sensor data that demands cognitive retrieval strategies. In this talk, I will focus on the interconnection between data retrieval and inference in a large-scale reach-back sensor network, by considering the problem of reconstructing a signal field with data retrieved using deterministic scheduling or random access. We use an integrated approach of networking and sensing to quantify how different retrieval schemes influence the reconstruction performance. The proposed approach not only establishes the connection of retrieval schemes to data sampling schemes, but also provides a communication and networking perspective of the traditional sampling problem unique to sensor networks. I will present the results in both infinite and finite sensor density conditions. The infinite density results demonstrate the fundamental difference between distinct data retrieval schemes under the ideal condition. The finite density case, on the other hand, reveals the sensitivity of different retrieval schemes in reality where practical imperfections may exist. Biography: Min Dong received the B.Eng. degree from Tsinghua University, Beijing, China, in 1998, and the Ph.D. degree in Electrical Engineering with minor in Applied Mathematics from Cornell University in 2004. Since 2004, she has been with the Corporate Research and Development, Qualcomm Inc., San Diego, CA, where she has actively contributed to the design and standardization of an orthogonal frequency division multiple access (OFDMA) system for the evolved 3G broadband wireless communications. Dr. Dong received the IEEE Signal Processing Society Best Paper Award for her work on the pilot design for wireless transmission. Her research interests include communications, signal processing, and mobile networks.
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