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Finding event correlations in federated wireless sensor networks

Title	Finding event correlations in federated wireless sensor networks
Author	Arı, İsmail, Çelebi, Ömer Faruk
Publication Date:	2011
Publication Place	- IEEE
Subject	Event detection, Correlation, Middleware, Wireless Sensor Networks
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-1-4577-9538-2
Record ID	f0fc87c8-65e0-4b4f-ae8b-b572d078c224
Library Location	Computer Science
Date	2011
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	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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Özyeğin University

Finding event correlations in federated wireless sensor networks

Author Arı, İsmail, Çelebi, Ömer Faruk

Publication Date 2011

Publication Place - IEEE

Subject Event detection, Correlation, Middleware, Wireless Sensor Networks

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-1-4577-9538-2

Record ID f0fc87c8-65e0-4b4f-ae8b-b572d078c224

Library Location Computer Science

Date 2011

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text 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