Based on the distributed estimation by wireless sensor networks, consensus based Kalman filtering problem is
summarized. Consensus based Kalman filtering algorithm is systematically introduced, which includes some representative
general algorithms, improved adaptive algorithm, optimal algorithm, and some algorithms including packet-dropping,
pinning control. Finally, conclusions are addressed and some future problems are given.