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Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems AbstractInternet-of-Things (IoT) is the latest buzzword,havings its origins in the erstwhile Sensor Networks. SensorNetworks produce a large amount of data. According tothe needs this data requires to be processed, delivered andaccessed. This processed data when made available withthe physical device location, user preferences, time constraints;generically called as context-awareness; is widelyreferred to as the core function for ubiquitous systems. Toour best knowledge there is lack of analysis of context informationfusion for ubiquitous sensor networks. Adoptingappropriate information fusion techniques can helpin screening noisy measurements, control data in the networkand take necessary inferences that can help in contextualcomputing. In this paper we try and explore differentcontext information fusion techniques by comparinga large number of solutions, their methods, architecturesand models. All the surveyed techniques can be adaptedto the IoT framework. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Open Computer Science de Gruyter

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Borges, Vijay
Open Computer Science , Volume 6 (1): 15 – Jan 1, 2016
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15 pages

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Publisher
de Gruyter
Copyright
© 2016 V. Borges
eISSN
2299-1093
DOI
10.1515/comp-2016-0003
Publisher site
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Abstract

AbstractInternet-of-Things (IoT) is the latest buzzword,havings its origins in the erstwhile Sensor Networks. SensorNetworks produce a large amount of data. According tothe needs this data requires to be processed, delivered andaccessed. This processed data when made available withthe physical device location, user preferences, time constraints;generically called as context-awareness; is widelyreferred to as the core function for ubiquitous systems. Toour best knowledge there is lack of analysis of context informationfusion for ubiquitous sensor networks. Adoptingappropriate information fusion techniques can helpin screening noisy measurements, control data in the networkand take necessary inferences that can help in contextualcomputing. In this paper we try and explore differentcontext information fusion techniques by comparinga large number of solutions, their methods, architecturesand models. All the surveyed techniques can be adaptedto the IoT framework.

Journal

Open Computer Science – de Gruyter

Published: Jan 1, 2016

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