This paper provides new methods to estimate the clock migration in wireless sensor networks. The synchronous benefits (IGMKPF) method improve the performance of the system, compared and applicability CRLB maximum likelihood estimation, any random delay mode, such as symmetric gaussian and exponential model. Generally speaking, in case of (unknown) the gaussian distribution analysis, closed-form solution may not exist-expression MSE benchmark, and difficult to get lower. However, this paper derived Cramer-after Rao bound (PCRB) and IGMKPF. An important element in the clock estimates is that the improvement of the performance of the prediction is an unknown observation noise density estimation which led to an improvement.