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学术讲座通知：Sparse On-Line Data Collections in Wireless S

2014/6/16镜像同步0 回复

学术讲座通知应网络与交换技术国家重点实验室谢东亮副教授的邀请，美国纽约州立大学Xin Wang教授将于6月18日来北京邮电大学作学术报告。欢迎校内广大师生踊跃参加。讲座题目：Sparse On-Line DataCollections in Wireless Sensor Networks based on Matrix Completion 主讲人：Xin Wang教授主持人：谢东亮副教授时间：2014年6月18日（星期三）下午14：00—15：00 地点：校办公楼501会议室报告摘要：Matrix completion has emerged very recently and provides a new venue for low cost data gathering in wireless sensor networks. Existing schemes often assume that the data matrix has a known and fixed low-rank, which is unlikely to hold in a practical monitoring system where data often vary in temporal and spatial domain. By analyzing a large set of weather data collected from 196 sensors over one month, we reveal that weather data have the features of low-rank, temporal stability, and relative rank stability. Taking advantage of these features, we propose an on-line data gathering scheme based on matrix completion theory, named MC-Weather, to adaptively sample different locations according to environmental and weather conditions. To better schedule a sampling process while satisfying the required reconstruction accuracy, we propose several novel techniques, including three sample learning principles, an adaptive sampling algorithm based on matrix completion, and a uniform time slot and cross sample model. With these techniques, our MC-Weather scheme can collect the sensory data at the required accuracy while largely reducing the cost for sensing, communications and computation. We perform extensive simulations based on the real weather data sets and the simulation results validate the efficiency and efficacy of the proposed scheme. In this talk, Dr. Wang will also introduce some other work in the Wireless Networking and Systems lab of Stony Brook University. 该讲座为前沿讲座，欢迎全校师生踊跃参加。校学术委员会网络与交换技术国家重点实验室 2014年6月10日主讲人简介.docx

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