A general clock synchronization method based on Kalman Filter model in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have limited power and bandwidth, low precision oscillators and random factors, which makes it difficult to get the accurate clock synchronization. Taking into account nature of the clock, we give a new adaptive synchronization method, build a general clock model which describes the clock offset in terms of the oscillators and design a kind of basic Kalman Filter model to achieve clock synchronization. To estimate the parameters of the Kalman Filter model adaptively, we propose a recursion method based on the Expectation-Maximization (EM) algorithm. Finally, we test the performance of our method through experiments.