This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …

This brief paper proposes a robust generalized proportionate diffusion Least Mean Square
(LMS) algorithm for distributed estimation of a parameter vector in a network. The …

Compressive sensing (CS) has been widely used in wireless sensor networks (WSNs). In
WSNs, the sensors are battery-powered and hence their communication and processing …

Most of the wireless sensor networks (WSNs) are equipped with battery-powered devices
with limited processing/communication resources which necessitate the designed …

To avoid the local minima in optimization for distributed adaptive filters, the q-gradient
diffusion least mean square (q-DLMS) algorithm uses the q-gradient vector to estimate …

The issue considered in the current study is the problem of adaptive distributed estimation
based on diffusion strategy which can exploit sparsity in improving estimation error and …

In this paper, we propose an algorithm for the estimation and compensation of second-order
nonlinearity in Wireless Sensor Networks (WSNs) within a distributed estimation framework …

This paper considers the distributed sparse identification problem over wireless sensor
networks such that all sensors cooperatively estimate the unknown sparse parameter vector …

In this paper, we study the distributed estimation problem with colored noise over adaptive
networks. The nodes estimate and track an identical parameter vector in the network. The …

Different types of exponential functional link artificial neural network (EFLN) filters have been
proposed for nonlinear active noise control (NANC) systems, but they still suffer from high …