A sensor data management using fog-edge gateway model and column-based compression for reliable IOT networks

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Abstract

Internet of Things(IoT) sensor network consists of many sensor nodes that combine physical sensing capabilities with networking capabilities. The sensors send data to a central monitoring server where the data is aggregated. The objective of this research is to introduce the base architectures of IoT sensor network, data control schemes, fog computing and edge computing technology. In this paper, a new approach of handling IoT data is proposed using combined IoT gateways and column-based compression for efficient and reliable data service in IoT environment. Proposed fog-edge gateway model exploits two different gateways to improve data service bandwidth and data reliability. Fog-edge gateway model can transmit compressed sensor data by reducing overhead in advance through column-based data compression scheme as compared to traditional row-based data management schemes. Experiments were conducted to measure the compression and transmission effects of the proposed scheme, and the results show that the data can be compressed to about 37% by column-based compression.

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APA

Byun, S. (2020). A sensor data management using fog-edge gateway model and column-based compression for reliable IOT networks. Journal of System and Management Sciences, 10(3), 45–57. https://doi.org/10.33168/JSMS.2020.0304

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