Design Patterns in IoT with AI
Design Patterns in IoT with AI

Summary/Abstract: Artificial intelligence (AI) relies on IoT to collect data in real time and is needed to enable self-management of devices. In addition to hardware, IoT devices require software and networks to function. Due to the fact that IoT devices transfer and process data, often sensitive data, the most important requirement for them is security. To ensure this, various techniques such as Design Patterns are used at different levels — architectural and for solving specific tasks. Their use has a number of advantages, such as improved security, reliability, adaptability and scalability, and most importantly, easier integration with AI. But there are also a number of limitations related to the limited resources of IoT devices, their performance, the complexity of their implementation and debugging, etc. In order to overcome these limitations, it is necessary to use various strategies, such as transferring heavy operations to the cloud or using federated learning, etc.

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