Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …

Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …

In this paper, we study resource management and allocation for energy harvesting cognitive
radio sensor networks (EHCRSNs). In these networks, energy harvesting supplies the …

Abstract A Cognitive Radio Sensor Network (CRSN) is a distributed network of sensor
nodes, which senses event signals and collaboratively communicates over dynamically …

Clustering-based routing solutions have proven to be efficient for wireless networks such as
Wireless Sensor Networks (WSNs), Vehicular Ad Hoc Networks (VANETs), etc. Cognitive …

Incorporating cognitive radio in traditional wireless sensor networks creates a new Internet
of Things paradigm, which is termed as cognitive radio sensor networks (CRSNs). This …

CR enables dynamic spectrum access to utilize licensed spectrum when it is idle. CR
technology is applied to wireless ad hoc and sensor networks to form CRAHNs and CRSNs …

Cognitive radio sensor network (CRSN) is a combination of wireless sensor network (WSN)
and opportunistic spectrum access technology. It involves the issues related to energy and …

Cognitive radio wireless sensor networks (CR-WSNs) have attracted a great deal of
attention recently due to the emerging spectrum scarcity issue. This work attempts to provide …

Cognitive radio Wireless Sensor Network is one of the emerging technologies to address the
challenges of conventional wireless networks. The core functionality of any network like …