The scope of the IEEE Signal Processing Theory and Methods (SPTM) Technical Committee has a broad span, ranging from digital filtering and adaptive signal processing to statistical signal analysis, estimation, and detection. There have also been significant advances in the estimation of sparse systems. These areas continue to play a key role in classical and timely applications. This paper discusses about solving estimation and tracking problems over cognitive networks that requires optimizing certain global cost functions in a distributed manner.