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Finding event correlations in federated wireless sensor networks

İsim Finding event correlations in federated wireless sensor networks
Yazar Arı, İsmail, Çelebi, Ömer Faruk
Basım Tarihi: 2011
Basım Yeri - IEEE
Konu Event detection, Correlation, Middleware, Wireless Sensor Networks
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-1-4577-9538-2
Kayıt Numarası f0fc87c8-65e0-4b4f-ae8b-b572d078c224
Lokasyon Computer Science
Tarih 2011
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin Event correlation engines help us find events of interest inside raw sensor data streams and help reduce the data volume, simultaneously. This paper discusses some of the challenges faced in finding event correlations over federated wireless sensor networks (WSNs) including high data volumes, uncertain or missing data, application-specific dependencies and widely varying data ranges and sampling frequencies. Analysisover real geo-tracking data of moving objects confirms some of these challenges. Federation at the data layer above the WSNs is presented as a feasible alternative.
DOI 10.1109/IWCMC.2011.5982850
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Finding event correlations in federated wireless sensor networks

Yazar Arı, İsmail, Çelebi, Ömer Faruk
Basım Tarihi 2011
Basım Yeri - IEEE
Konu Event detection, Correlation, Middleware, Wireless Sensor Networks
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-1-4577-9538-2
Kayıt Numarası f0fc87c8-65e0-4b4f-ae8b-b572d078c224
Lokasyon Computer Science
Tarih 2011
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin Event correlation engines help us find events of interest inside raw sensor data streams and help reduce the data volume, simultaneously. This paper discusses some of the challenges faced in finding event correlations over federated wireless sensor networks (WSNs) including high data volumes, uncertain or missing data, application-specific dependencies and widely varying data ranges and sampling frequencies. Analysisover real geo-tracking data of moving objects confirms some of these challenges. Federation at the data layer above the WSNs is presented as a feasible alternative.
DOI 10.1109/IWCMC.2011.5982850
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