In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide
Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end …

Traditional Wireless Sensor Networks (WSNs) have tremendous applications, but their
performance can be limited due to the limited processing and communication power of …

Cognitive radio networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …

Because of numerous dormant application fields, wireless sensor networks (WSNs) have
emerged as an important and novel area in radio and mobile computing research. These …

The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

Recent innovation, growth, and deployment of internet of things (IoT) networks are changing
the daily life of people. 5G networks are widely deployed around the world, and they are …

Cognitive Radio (CR) technology was first introduced to solve the problem of radio spectrum
under-utilization. A cognitive radio network consists of smart radio devices that have the …

With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless
technologies into our daily lives, the world will see the Internet of the future expand ever …

A green-energy-powered cognitive radio (CR) network is capable of liberating the wireless
access networks from spectral and energy constraints. The limitation of the spectrum is …

The further demand for data traffic growth makes the conventional radio frequency (RF)
wireless network face ever increasing challenges such as spectrum shortage and access …