A new Variable step-Size strategy for adaptive networks

Several algorithms have been developed over the last few years that utilize the distributed nature of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithm is called the diffusion least mean squares (DLMS) algorithm. This algorithm estimates the parameter of interest using the cooperation between neighboring sensors within the network. Among the various algorithms that improved the performance of the DLMS algorithm is the Variable Step-Size DLMS (VSSDLMS) algorithm. The VSSDLMS algorithm used the instantaneous error energy to update the step-size. The algorithm showed remarkable improvement. In this work, a new strategy for updating the step-size by utilizing the distributed nature of the network is presented. The proposed algorithm was compared to other similar algorithms and found to exhibit better performance.