The method of the invention envisages estimation and learning of the state of the system using the data traffic of the network itself, with co-ordination of a node, selected as collector, which, in addition to its normal data-collection role, determines and changes dynamically the network-protocol stack used, for optimizing the performance of interest, where for this purpose said node, with a processing unit thereof, implements a computer program referred to as “protocol selector”, which: executes monitoring of the network state and collection of the data on the performance of the network itself; evaluates at periodic intervals the performance of the protocol in the last interval and executes a step of a reinforcement-learning algorithm at the end of which it evaluates whether to change or not the protocol for the next interval and resumes the main execution flow.