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Open Access Research Article

Smart structural control and analysis of edge computing power in AI aquaculture

, , , *

* Corresponding author · click or hover a name for details

pp. 1263–1286Vol. 44Issue 7October 2023DOI: 10.47974/JIOS-1172XML
Received:
03 Dec 2021
Published Online:
19 Oct 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1172
Pages:
1263–1286

Abstract

Traditional aquaculture fish ponds are located outside people’s living areas. Collecting water environment data and uploading them to the cloud server for processing requires high network resources. Using edge computing power to process local data can solve network resource problems while achieving intelligent coordination between devices. Using the Raspberry Pi as an edge computing device in the local space, the system is explained from the three main aspects of the perception layer, the transmission layer and the application layer. The goal of real-time and refined resource management is achieved through intelligent algorithms, so that the data is respectable and credible. Further explore the feasibility of intelligent collaboration in aquaculture. Practice shows that the system runs stably on the physical model and has the characteristics of fast response in perception and control.

Keywords

Subject Classifications

68 Computer science68M18 Wireless sensor networks

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