https://scholars.lib.ntu.edu.tw/handle/123456789/413215
標題: | A data reconstruction model addressing loss and faults in medical body sensor networks | 作者: | Zhang H. Liu J. AI-CHUN PANG Li, Rong |
關鍵字: | Bayesian methods;Body sensor networks;Data loss;Data reconstruction;Fault detection | 公開日期: | 2016 | 來源出版物: | 2016 IEEE Global Communications Conference | 摘要: | Due to limited resource, noise and unreliable link, data loss and sensor faults are common in medical body sensor networks (BSN). Most available works used data reconstruction to improve data quality in traditional wireless sensor networks (WSN). However, existing data reconstruction schemes using redundant information of WSN can not provide a satisfactory accuracy for BSN. In light of this, a Bayesian network based data reconstruction scheme is formalized in this paper, which rebuilds data using conditional probabilities of body sensor readings to recover missing data and sensor faults, rather than the redundant information collected from a large number of sensors. Experiments on extensive online data set show that the performance of our scheme outperforms all available data reconstruction schemes. ? 2016 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413215 | ISBN: | 9781509013289 | DOI: | 10.1109/GLOCOM.2016.7841491 |
顯示於: | 資訊工程學系 |
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