Transmission Strategy Selection in a Heterogeneous Internet of Things Network Using Fuzzy Multi-Criteria Analysis

Purpose. This article is dedicated to solving the problem of selecting an optimal data transmission strategy in heterogeneous Internet of Things (IoT) networks. To evaluate and select strategies, considering such conflicting factors as energy consumption, delay, and packet loss, an approach based on fuzzy multi-criteria analysis is proposed. This approach allows for finding effective trade-off solutions under conditions of uncertainty and fuzziness of the initial data, which are characteristic of IoT networks. Subject of research. Selection of a transmission strategy in heterogeneous IoT networks. Method: Fuzzy multi-criteria analysis, which enables the consideration and processing of multiple criteria and fuzzy data. Results. The effectiveness of the proposed approach for determining transmission strategies that provide an optimal balance between energy consumption, delay, and packet loss is demonstrated, which contributes to an increase in overall network performance. Practical significance. The developed approach is applicable for optimizing data transmission in real-world IoT networks, including reducing energy consumption and delays while maintaining a high probability of delivery, which is relevant for smart city and industrial automation applications.