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    Model of process for ensuring fault tolerance in internet of things networks
    (Хмельницький національний університет, 2024) Nicheporuk, A.; Dariychuk, O.; Danchuk, S.
    The Internet of Things is a concept that describes a network of physical objects equipped with embedded technologies, allowing them to collect and exchange data over the Internet. The main idea is to connect various devices and objects around us so that they can collaborate and interact with each other without direct human intervention. However, this carries certain risks: failures in such systems can have serious consequences, including potentially fatal events. Therefore, the reliability of IoT systems becomes critical in many areas, especially where safety is a priority. The problems hindering the resolution of this issue are primarily related to the heterogeneity of the IoT environment, the lack of communication about failures and malfunctions between network elements, and the heterogeneous environment. As a result, the time to detect errors in such networks is quite long. Thus, the aim of this work is to model the process of ensuring fault tolerance to reduce the time to detect malfunctions in IoT networks by designing and implementing a fault tolerance system in IoT networks. The paper presents a model for providing fault tolerance in the Internet of Things network, describes key concepts, entities and connections, and also defines the main stages and processes that are included in providing fault tolerance. This model is the basis of the functioning of the fault tolerance system. The concept of a fault tolerance system that integrates into existing Internet of Things networks is proposed. The concept of fault tolerance agents is introduced, which make up the basis of the fault tolerance system, and which communicate with each other to ensure the exchange of information about the occurrence of a fault. Two local fault tolerance mechanisms are proposed, which determine the functionality of the agents. To verify the effectiveness of error detection, experimental studies were conducted, including two error detection scenarios using two local fault tolerance mechanisms.