Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture

The recent growth of the Internet of Things’ services and applications has increased data processing and storage requirements. The Edge computing concept aims to leverage the processing capabilities of the IoT and other devices placed at the edge of the network. One embodiment of this paradigm is Fo...

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Autores principales:	Sandy F. da Costa Bezerra, Airton S. M. Filho, Flavia C. Delicato, Atslands R. da Rocha
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Internet of Things Fog computing complex event processing Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/a695eced2e6c494c8f68dfae0be31738
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spelling	oai:doaj.org-article:a695eced2e6c494c8f68dfae0be317382021-11-11T19:12:08ZProcessing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture10.3390/s212172261424-8220https://doaj.org/article/a695eced2e6c494c8f68dfae0be317382021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7226https://doaj.org/toc/1424-8220The recent growth of the Internet of Things’ services and applications has increased data processing and storage requirements. The Edge computing concept aims to leverage the processing capabilities of the IoT and other devices placed at the edge of the network. One embodiment of this paradigm is Fog computing, which provides an intermediate and often hierarchical processing tier between the data sources and the remote Cloud. Among the major benefits of this concept, the end-to-end latency can be decreased, thus favoring time-sensitive applications. Moreover, the data traffic at the network core and the Cloud computing workload can be reduced. Combining the Fog computing paradigm with Complex Event Processing (CEP) and data fusion techniques has excellent potential for generating valuable knowledge and aiding decision-making processes in the Internet of Things’ systems. In this context, we propose a multi-tier complex event processing approach (sensor node, Fog, and Cloud) that promotes fast decision making and is based on information with 98% accuracy. The experiments show a reduction of 77% in the average time of sending messages in the network. In addition, we achieved a reduction of 82% in data traffic.Sandy F. da Costa BezerraAirton S. M. FilhoFlavia C. DelicatoAtslands R. da RochaMDPI AGarticleInternet of ThingsFog computingcomplex event processingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7226, p 7226 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Internet of Things Fog computing complex event processing Chemical technology TP1-1185
spellingShingle	Internet of Things Fog computing complex event processing Chemical technology TP1-1185 Sandy F. da Costa Bezerra Airton S. M. Filho Flavia C. Delicato Atslands R. da Rocha Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
description	The recent growth of the Internet of Things’ services and applications has increased data processing and storage requirements. The Edge computing concept aims to leverage the processing capabilities of the IoT and other devices placed at the edge of the network. One embodiment of this paradigm is Fog computing, which provides an intermediate and often hierarchical processing tier between the data sources and the remote Cloud. Among the major benefits of this concept, the end-to-end latency can be decreased, thus favoring time-sensitive applications. Moreover, the data traffic at the network core and the Cloud computing workload can be reduced. Combining the Fog computing paradigm with Complex Event Processing (CEP) and data fusion techniques has excellent potential for generating valuable knowledge and aiding decision-making processes in the Internet of Things’ systems. In this context, we propose a multi-tier complex event processing approach (sensor node, Fog, and Cloud) that promotes fast decision making and is based on information with 98% accuracy. The experiments show a reduction of 77% in the average time of sending messages in the network. In addition, we achieved a reduction of 82% in data traffic.
format	article
author	Sandy F. da Costa Bezerra Airton S. M. Filho Flavia C. Delicato Atslands R. da Rocha
author_facet	Sandy F. da Costa Bezerra Airton S. M. Filho Flavia C. Delicato Atslands R. da Rocha
author_sort	Sandy F. da Costa Bezerra
title	Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
title_short	Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
title_full	Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
title_fullStr	Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
title_full_unstemmed	Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
title_sort	processing complex events in fog-based internet of things systems for smart agriculture
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a695eced2e6c494c8f68dfae0be31738
work_keys_str_mv	AT sandyfdacostabezerra processingcomplexeventsinfogbasedinternetofthingssystemsforsmartagriculture AT airtonsmfilho processingcomplexeventsinfogbasedinternetofthingssystemsforsmartagriculture AT flaviacdelicato processingcomplexeventsinfogbasedinternetofthingssystemsforsmartagriculture AT atslandsrdarocha processingcomplexeventsinfogbasedinternetofthingssystemsforsmartagriculture
_version_	1718431602607915008

Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture

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