Wireless reprogramming in a wireless sensor network (WSN) involves the process of
propagating a new code image or relevant command to sensor nodes. As a WSN is usually …

In this paper, the adaptive fuzzy iterative learning control scheme is proposed for
coordination problems of M th order (M≥ 2) distributed multi-agent systems. Every follower …

Distributed adaptive learning algorithms have played a critical role in signal processing and
parameter estimation over networks. Most existing algorithms are based on the mean …

In this paper, the H∞ fault estimation (FE) problem is investigated for a class of wireless
networked control systems (W-NCSs), where an information scheduler is embedded in …

A wireless networked control system (WNCS) consists of a dynamic system to be controlled,
sensors, actuators, and a remote controller. A WNCS has two types of wireless …

This paper is devoted to distributed estimation in robust fault detection for sensor networks
with networked-induced delays and packet dropouts by using a consensus-based multi …

The recent evolution of the fourth industrial revolution is Industry 4.0, projecting the
enhancement of the technology, development, and trends towards the smart processing of …

Reprogramming is a crucial technique for software deployment and update in wireless
sensor networks (WSNs). Bulk data dissemination is an important building block for enabling …

We study the emergency communication problem in the post-disaster scenario. The
emergence of Renewable Energy-enabled Based Station (REBS), which has pre-equipped …

Mobile actor is a promising tool for wireless sensor and actor networks (WSANs)
provisioning energy and time efficient data collection. In this paper, we study actors' mobility …