ADAPTIVE DATA STREAM THINNING IN REMOTE MONITORING SYSTEMS FOR TRANSPORT INFRASTRUCTURE

Abstract

This work examines the method of adaptive data stream thinning in remote monitoring systems for transport infrastructure. The proposed model dynamically regulates the frequency of message transmission by considering the intensity of the incoming stream and the bandwidth of the communication channel. The primary mechanism is based on adjusting the thinning interval, which is adapted according to the current system load. In cases of overload, the interval is increased, reducing the volume of transmitted data, whereas under improved transmission conditions, it is decreased, enhancing the efficiency of channel usage. The developed model ensures a balance between minimizing the loss of critical information and reducing network load, thereby improving the stability and reliability of transportation infrastructure monitoring.