Non-destructive, inline quality monitoring techniques that can overcome the limitations of
traditional, offline assays are essential to support the scale-up production of tissue …

Abstract Wireless Sensor Networks (WSN) play a vital role in the Internet of Things (IoT) and
show great potential in monitoring applications. However, due to harsh environmental …

The major challenges during the data acquisition process in an environmental wireless
sensor network (EWSN) architecture are the presence of outliers and missing data. Outliers …

Acquisition of sensor data in wireless sensor networks with compressive sensing reduces
the cost involved with sensing and communication. The challenge behind this work in …

Machine learning, as a significant component of the Industrial Internet of Things (IIoT), has
been widely applied in many fields. The continuously generated data from the various …

In the Wireless Sensor Networks (WSNs), ensuring long-term survival of the sensor devices
is crucial, especially for non-energy harvesting networks where the sensors have to deal …

Wireless Sensor Networks (WSNs) have been deeply studied by many researchers and
been widely used in many fields. Since a large amount of energy for WSNs is used for …

At present, smart Homes are receiving more attention as they are becoming the predominant
space that houses people's activities. Even though intelligent home appliances are capable …

Decreasing the number of data gathered is the most highly effective way to decrease the
power consumption for wireless sensor networks. Compressed Data Gathering, as it known …

Today, networking is the core of modern communication and connectivity. The reality is that
it is the underlying framework for data and resource exchanges across various types of …