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| Current Focus |
| 1. Robust Message-Passing for Distributed Inference (DISTIN) |
Develop robust, efficient message-passing algorithms for effective inference, learning and control in wireless sensor networks and other distributed systems. These algorithms must perform the global inference and optimization tasks required by sensor network applications, while being robust to network losses and failures, and limiting communication and power requirements. Our efficient method is leveraged by powerful representation and inference approaches from probabilistic graphical models, and by novel networking and message passing algorithms (cross-layer optimizations) in a comprehensive study on the tradeoffs among delay, energy efficiency, accuracy (approximation rate), and computational complexity...
Figure: Probabilistic modeling of the inference problem and its physical deployment
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| Annoucements |
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Regular meeting on every Saturday, 3 P.M, room 409
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Internal meeting on every Friday, 3 P.M, room 351
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Every team member must submit his/her progress report to team leader before 12 P.M via e-mail
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| Publications |
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Xiaoling Wu, Brian J. d'Auriol, Jinsung Cho, and Sungyoung Lee, "Optimal routing in sensor networks for in-home health monitoring with multifactor considerations", Proc. of International Workshop on Pervasive Digital Healthcare (PerCare) in conjunction with IEEE Percom 2008, Hong Kong, 17 - 21 March 2008
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Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol and Sungyoung Lee, "Mobility-Assisted Relocation for Self-deployment in Wireless Sensor Networks", IEICE Trans. on Communications (SCI), Vol.E90-B,No.8, Aug. 2007, pp.2056-2069.
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Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungyoung Lee and Young-Koo Lee, "An Integrated Sleep-Scheduling and Routing Algorithm in Ubiquitous Sensor Networks based on AHP", Special section on Ubiquitous Sensor Networks, IEICE Trans. on Communications (SCI), Vol.E90-B,No.12, Dec. 2007, pp.3392-340.
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