| Full text | |
| Author(s): |
da Costa Bezerra, Sandy F.
[1]
;
Filho, Airton S. M.
[2]
;
Delicato, Flavia C.
[3]
;
da Rocha, Atslands R.
[1, 2]
Total Authors: 4
|
| Affiliation: | [1] Univ Fed Ceara, Postgrad Program Teleinformat Engn, BR-60455970 Fortaleza, Ceara - Brazil
[2] Univ Fed Ceara, Dept Teleinformat Engn, BR-60455970 Fortaleza, Ceara - Brazil
[3] Fluminense Fed Univ, Inst Comp, BR-24210310 Niteroi, RJ - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | SENSORS; v. 21, n. 21 NOV 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 15/24144-7 - Technologies and solutions for enabling the cloud of things paradigm |
| Grantee: | José Neuman de Souza |
| Support Opportunities: | Research Projects - Thematic Grants |