Method of training routes of data transmission on mobile radio networks

A method for training data transmission routes in wireless self-organized networks is proposed. Features of construction this class are described. The main tasks functioning the control system self – organized shown. teaching methods used to predict changes analyzed. efficiency application certain fields and non-compliance with requirements being developed explained. essence forecasting direct connection process learning routing shown as a necessary component uninterrupted operation networks. unit subsystem considered. Options increasing scalar optimization learn parameters (total latency; network routes; minimum bandwidth; reliability; load; load) using method, designed dynamically select most efficient adaptability function each new generation evolutionary algorithms. Optimization problems auxiliary criteria reinforcement “Evolutionary Algorithm Reinforced Learning” algorithm allows you execution algorithm. Hierarchical-if-and-only-if problem described its when working different algorithms work correspond research, which makes it possible compare results previous results. In course on reflected comparative analysis similar multicriteria carried out.