Machine Learning-Based Data Analytics for IoT-Enabled Industry Automation
نویسندگان
چکیده
The virtual network which is regarded as a bridge between real-world applications and computerized systems termed Internet of Things (IoT). can access the application by considering wireless sensor internet facility its main technology. o (IoT) comprises global that connects sensors, electronic devices, software. Fog computing requires managing services among various fog nodes. plays major role in reduction latency energy consumption. Traces nodes help to identify location awareness IoT destination. As are geographically distributed, they support high availability scalability factors large amounts data provided sensors industries. heterogeneity issues be handled proposed cognitive things system supporting interoperability flexibility connected machinery. work efficiency industrial sector with fault analysis from received consists newly developed optimization techniques. This determines impact transmission cloud layer improve efficiency, delay time, throughput.
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ژورنال
عنوان ژورنال: Wireless Communications and Mobile Computing
سال: 2022
ISSN: ['1530-8669', '1530-8677']
DOI: https://doi.org/10.1155/2022/8794749