  In this paper we consider the issue of reliability of measurements in
distributed adaptive estimation problem. To this aim, we assume a sensor
network with different observation noise variance among the sensors and propose
new estimation method based on incremental distributed least mean-square
(IDLMS) algorithm. The proposed method contains two phases: I) Estimation of
each sensors observation noise variance, and II) Estimation of the desired
parameter using the estimated observation variances. To deal with the
reliability of measurements, in the second phase of the proposed algorithm, the
step-size parameter is adjusted for each sensor according to its observation
noise variance. As our simulation results show, the proposed algorithm
considerably improves the performance of the IDLMS algorithm in the same
condition.
