" This invaluable book is the first of its kind on" selforganizology", the science of self-
organization. It covers a wide range of topics, such as the theory, principle and methodology …

In this correspondence, we analyze the effects of noisy links on the steady-state
performance of diffusion least-mean-square (LMS) adaptive networks. Using the established …

Partial diffusion‐based recursive least squares (PDRLS) is an effective way of lowering
computational load and power consumption in adaptive network implementation. In this …

In this paper, we study the problem of distributed bias-compensated recursive least-squares
(BCRLS) estimation over multi-agent networks, where the agents collaborate to estimate a …

The article studies the steady‐state performance of a diffusion least‐mean squares (LMS)
adaptive network with imperfect communications where the topology is random (links may …

It is a fact that energy consumption is a key issue in wireless sensor networks. In order to
improve the energy efficiency of network utilization, distributed power control methods are …

Channel estimation in a wireless sensor network is imperative to error-free information
dissemination and data collection. The estimation procedure is challenging if there exists a …

Biological adaptation refers to that organisms change themselves at morphological,
physiological, behavioral and molecular level to better survive in a changing environment. It …

Noise is the main distorting parameter in the performance of all communication systems
including adaptive networks. The problem of distributed estimation with adaptive networks …

The problem of distributed adaptive filtering is considered in this paper, where all the nodes
in the network will estimate an unknown parameter from noisy measurements cooperatively …