The majority of work in cognitive radio networks have focused on single-hop networks with
mainly challenges at the physical and MAC layers. Recently, multi-hop secondary networks …

Cognitive radio networks (CRNs) are composed of cognitive, spectrum-agile devices
capable of changing their configurations on the fly based on the spectral environment. This …

Throughput maximization is one of the main challenges in cognitive radio ad hoc networks,
where the availability of local spectrum resources may change from time to time and hop by …

Electromagnetic interference, equipment noise, multi-path effects and obstructions in harsh
smart grid environments make the quality-of-service (QoS) communication a challenging …

Cognitive radio ad hoc networks (CRAHNs) are a class of cognitive radio networks. In recent
years, they have gained popularity, and routing protocols have been proposed. Above all …

Two main issues affect the existing routing metrics for cognitive radio ad hoc networks: i)
they are often based on heuristics, and thus they have not been proved to be optimal; ii) they …

In order to meet the growing demands for high-throughput, cost-effective, and energy
efficient solution for the emerging device-to-device (D2D) based Internet of Things (IoT) …

Driven by the advent of sophisticated and ubiquitous applications, and the ever-growing
need for information, wireless networks are without a doubt steadily evolving into profoundly …

Due to the recent developments in the wireless mesh and ad-hoc networks, multi-hop
cognitive radio networks (MCRNs) have attained the significant attention towards providing …

Throughput maximization is one of the main challenges in cognitive radio ad hoc networks,
where the availability of local spectrum resources may change from time to time and hop-by …