  Partial diffusion scheme is an effective method for reducing computational
load and power consumption in adaptive network implementation. The Information
is exchanged among the nodes, usually over noisy links. In this paper, we
consider a general version of partial-diffusion least-mean-square (PDLMS)
algorithm in the presence of various sources of imperfect information
exchanges. Like the established PDLMS, we consider two different schemes to
select the entries, sequential and stochastic, for transmission at each
iteration. Our objective is to analyze the aggregate effect of these
perturbations on general PDLMS strategies. Simulation results demonstrate that
considering noisy link assumption adds a new complexity to the related
optimization problem and the trade-off between communication cost and
estimation performance in comparison to ideal case becomes unbalanced.
