Management of IoT Sensor Data Using a Fog Computing Node

Joint Authors

Yoon, Gunjae
Choi, Donghwa
Lee, Jeongjin
Choi, Hoon

Source

Journal of Sensors

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-02-19

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

As IoT systems spread, transmissions of all data from various sensing devices to a remote OM (Operation and Management) server through the Internet can lead to many problems, such as an explosion of network traffic and delayed responses to data.

Fog computing is a good means of resolving these problems in an IoT system environment.

In this paper, a management method for sensor data in a fog computing node is proposed.

The monitoring node monitors data from sensor devices using a data pattern from the OM server, which dynamically generates and updates the pattern.

The monitoring node reports only the data beyond the normal range of the pattern to the OM server rather than sending all data to the OM server.

The monitoring node can control the operations of sensor devices remotely according to the requests of the OM server.

American Psychological Association (APA)

Yoon, Gunjae& Choi, Donghwa& Lee, Jeongjin& Choi, Hoon. 2019. Management of IoT Sensor Data Using a Fog Computing Node. Journal of Sensors،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1190937

Modern Language Association (MLA)

Yoon, Gunjae…[et al.]. Management of IoT Sensor Data Using a Fog Computing Node. Journal of Sensors No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1190937

American Medical Association (AMA)

Yoon, Gunjae& Choi, Donghwa& Lee, Jeongjin& Choi, Hoon. Management of IoT Sensor Data Using a Fog Computing Node. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1190937

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190937