“…In conclusion, by integrating with signal processing, wireless sensor network, machine learning, data-sparse algorithm, dynamic optimization, and control theory, investigating and developing distributed learning and distributed estimation over networks has become an important problem in the practical engineering application [46,47]. Furthermore, in the true environment of IWSN, distributed estimation algorithm could be able to deal with some problems of uncertainty phenomenon, which mainly includes the dynamic change of topological structure, quantization errors, communication link failure, packet losses, serious distortion of communication channel, and inter-symbol interference (ISI) [48,49].…”