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 …

IoT sensor solutions have become ubiquitous in recent years. This rapid growth has resulted
in large amounts of real-time data being transmitted to a cloud. Cloud computing paradigms …

A data compression approach using the Wavelet transform represents one of possible edge
computing solutions. The main advantage of presented approach is a reduction of …

Growth of Internet and explosive development of mobile communications has given high
demand to multimedia applications. Data explosion and the need for real time processing …

The big data phenomenon has gained much attention in the wireless communications field.
Addressing big data is a challenging and time-demanding task that requires a large …

Compressed Sensing (CS) is an innovative approach allowing to represent signals through
a small number of their projections. In this paper, we address the application of CS to the …

In the last half a decade, the technologies of the hardware, software, and communication
have been advanced in such a way that leads to the ability to build tiny wireless embedded …