Distributed Principal Subspace Estimation in Wireless Sensor Networks
نویسندگان
چکیده
منابع مشابه
Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...
متن کاملoutlier detection in wireless sensor networks using distributed principal component analysis
detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...
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متن کاملDistributed Consensus Estimation of Wireless Sensor Networks
Average consensus develops with multi-agent systems where consensus is a vital aspect in coordination and cooperation [5]. It is a linear iteration scheme where each node updates its value as a linear weighted combination of the values received from neighbors and its own. Consensus can be guaranteed by appropriately designing the weights used in the linear schemes. However, the characteristics ...
متن کاملDistributed Consensus Estimation of Wireless Sensor Networks
Average consensus develops with multi-agent systems where consensus is a vital aspect in coordination and cooperation [5]. It is a linear iteration scheme where each node updates its value as a linear weighted combination of the values received from neighbors and its own. Consensus can be guaranteed by appropriately designing the weights used in the linear schemes. However, the characteristics ...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Signal Processing
سال: 2011
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2011.2118742