The method of improving the efficiency of routes selection in networks of connection with the possibility of self-organization

Abstract

One of the directions improving the efficiency of communication networks with the ability to self-organization is the choice of rational route information transmission from sender to recipient. In the course of the analysis it was established that the existing scientific approaches for forecasting the state of the routes have high computational complexity, which prevents them from predicting the state of the transmission routes in real time. Therefore, the authors of this research conducted a methodology for forecasting the time overload of data transmission routes in mobile radio networks of radio networks with the possibility of self-organization. As the basic mathematical device, the neural network of Elman was used based on the calculation of the network neuron potential. The essence of the proposed method is to decide on the search for new routes based on the predicted time of overloading data transmission routes in mobile radio networks with the possibility of self-organization. The proposed method allows to predict the time of overloading of data transmission routes in mobile radio networks with the possibility of self-organization by reducing the computational complexity of the neural network and application of the algorithm for training the neural network. It is advisable to use the proposed methodology in radio communication with programmable architecture by developing appropriate software, which will increase the efficiency of choosing a route of data transmission in radio communication networks with the ability to self-organize.