Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Wireless sensor networks have emerged as a key technology which is used in many safety
critical applications. The sensors in wireless sensor network have to be deployed in hostile …

Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

Abstract Wireless Sensor Network (WSN) being highly diversified cyber–physical system
makes it vulnerable to numerous failures, which can cause devastation towards safety …

Wireless sensor networks (WSNs) are prone to many failures such as hardware failures,
software failures, and communication failures. The fault detection in WSNs is a challenging …

A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …

Since more than one decade, Wireless Sensor Networks (WSN) have been emerged as a
promising and interesting area which increasingly drawing researcher attention. So, the …

This paper covers the basics of fault diagnosis in wireless sensor networks, as well as fault
diagnosis terminology, sensor fault classification, causes and effects, and fault diagnosis …

Wireless sensor networks (WSNs) have become widely ubiquitous deployed in many
application domains over the past few decades. Classical approaches configure WSNs …

In many wireless sensor network (WSN) applications, where a plethora of nodes are
deployed to sense physical phenomena, erroneous measurements could be generated …