METHOD FOR ANALYZING THE QUALITY OF LOGICAL CHANNELS AND CHOOSING ROUTES IN A SINGLE-RANK SENSOR NETWORK

Abstract

Sensor networks play a key role in many industries due to their ability to effectively collect and transmit data. However, ensuring the reliability and quality of data transmission remains one of the main problems. The article presents a method for calculating the quality of channels in a sensor network, which is based on the use of fuzzy mathematics, namely the operation of transitive closure of a fuzzy binary relation. The proposed method uses a fuzzy binary relation to model the quality of communication channels between network nodes. By performing transitive closure, the method allows to obtain a more accurate and adaptive assessment of channel quality, taking into account various factors such as delay, bandwidth, energy consumption and reliability. The research results show that the use of the transitive closure operation of a fuzzy binary relation can significantly improve the accuracy of channel quality assessment and increase the efficiency of route selection in a sensor network. The proposed method can be useful for improving the productivity and reliability of sensor networks, ensuring their stable and efficient operation under various operating conditions.