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

Sensors

Airton S. M. Filho¹  Flavia C. Delicato²  Atslands R. da Rocha³  Sandy F. da Costa Bezerra³ 

[1] Departament of Teleinformatics Engineering, Federal University of Ceara, Fortaleza 60455-970, Brazil;Institute of Computing, Fluminense Federal University, Niteroi 24210-310, Brazil;Postgraduate Program of Teleinformatics Engineering, Federal University of Ceara, Fortaleza 60455-970, Brazil;

关键词: Internet of Things;    Fog computing;    complex event processing;   

DOI  :  10.3390/s21217226

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown