A Distributed Variable Tap-length Algorithm within Diffusion Adaptive Networks

In this work, an adaptive algorithm with variable tap-length is proposed for diffusion networks, where all nodes exchange information with their connected group without a fusion center and utilize both exchanged information and their local observation to make their individual estimations. Based on a fractional tap-length solution and the fully distributed structure of networks, we propose the algorithm to resolve the estimation problems on both tap-length and tap-weights. The proposed algorithm with adaptive tap-length structure enables the networks to reduce communication energy and network resources. The convergence properties of this algorithm are confirmed by the simulation results.