THE METHOD OF OPTIMIZING DATA TRANSMISSION IN IOT NETWORKS USING ARTIFICIAL INTELLIGENCE
DOI: 10.31673/2412-4338.2024.031219
Abstract
The Internet of Things (IoT) and artificial intelligence (AI) are two of the most relevant and discussed topics in the world of technology. These two innovative technologies have a great potential for symbiosis, which makes it important to use them in an integrated way to create new opportunities for corporate users. AI and IoT are closely related: artificial intelligence is able to quickly process and analyze huge amounts of data generated by smart devices. Machine learning methods can detect patterns and anomalies in data that includes information about temperature, humidity, pressure, air quality, sound, and vibration.
The combination of these two technologies forms intelligent connected systems, where AI acts as the “brain” and IoT as the “body”. IoT devices collect and transmit data from various sources, which ensures AI training and its ability to optimize various processes. Thanks to these capabilities, IoT systems can not only learn but also make informed decisions in data management and analysis, which, in turn, increases overall productivity.
The optimized methods made possible by artificial neural networks, IoT, and cloud services are having a significant impact on real-time data analysis and processing in many areas. Multi-homing is a type of network that combines various network technologies into a single environment that allows for the efficient management of large amounts of data. Today, processing and monitoring this data in multi-homing networks requires less resources and reduces security risks, increasing the efficiency of information processing and monitoring.
The use of AI-based systems in combination with big data, as well as integrated IoT and AI systems, can provide significant benefits in various aspects of business operations. This can include improved decision-making, resource optimization, enhanced customer service, and the development of new business models. The integration of these technologies is opening up new horizons for innovation and development in many industries, from manufacturing to healthcare to city management.
Keywords: Internet of Things, artificial intelligence, multihoming networks, artificial neural network, artificial intelligence of things, Levenberg-Marquardt algorithm, Bayes' rule.
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