Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

Cloud computing, the most crucial computing and storage tool in IoT (Internet of Things), still
meets various challenges. The remoteness of IoT end devices from cloud platforms may …

Advances in wireless technologies and small computing devices, wireless sensor networks
can be superior technology in many applications. Energy supply constraints are one of the …

Fog computing, an extension of cloud computing, enhances capabilities by processing data
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …

The possibility for broad usage of Wireless Sensor Networks (WSNs) in many various
sectors, such as environmental monitoring, security, home automation and many others, has …

Today, the importance of enhanced quality of service and energy optimization has promoted
research into sensor applications such as pervasive health monitoring, distributed …

One of the most important challenges in Wireless Sensor Networks (WSN) is the extension
of the sensors lifetime, which are battery-powered devices, through a reduction in energy …

Abstract Current Internet of Things (IoT) research focuses on inserting cognition into its
system architecture and design. Therefore, Cognitive IoT (CIoT) has emerged. CIoT inherits …

Incorporating cognition into the design and architecture of the Internet of Things (IoT) has
recently been the subject of much research, giving rise to a new subfield known as the …

The study presents a novel edge computing (EC) method based on a discrete wavelet
transform (DWT) and fuzzy logic controller suitable for application with energy harvesting …