Distributed adaptive network with SNR weighed communication

Recent studies of self-organizing adaptation in nature, have indicated that similar concepts can be implemented in modern network systems. There have been studies that show how to use self-organizing multi agent adaptive networks for signal estimation, detection and network optimization. A possible application for signal detection based adaptive networks can be implemented in cognitive radio where a number of secondary users need to detect the presence of the primary user activity. In this work we analyse the performance of an adaptive network of nodes with a static topology that estimates the signal to noise ratio (SNR) of the received signal in each node and weighs the communication according to the estimates. The nodes compute the autocorrelation function of the primary signal for further cognitive radio detection application.