Wireless sensor networks (WSNs) play an important role in various real-time applications
such as health monitoring, security application, military applications, etc. However, these …

Nowadays, the demand for mobile wireless communication systems has increased
drastically due to its significant use for various real-time applications. This increased …

Cognitive Radio (CR) is a promising technology to overcome spectrum scarcity, which
currently faces lots of unsolved problems. One of the critical challenges for setting up such …

Energy Efficiency (EE) is a key performance metric to design future wireless networks. Since
Directional Antennas (DAs) focus the transmission energy towards the destination, it has …

Transmission latency minimization and energy efficiency improvement are two main
challenges in multi-hop Cognitive Radio Networks (CRN), where the knowledge of topology …

MANET (mobile ad hoc network) comprises of a set of wireless mobile node connected in a
self‐healing and self‐configured network devoid of any fixed infrastructure. The cognitive …

Deep reinforcement learning (DRL) has been successfully used for the joint routing and
resource management in large-scale cognitive radio networks. However, it needs lots of …

End‐to‐end application performance and throughput of vehicular cognitive transport control
protocol depend on how efficiently the segments (TCP header) are being transmitted from …

Abstract Cognitive Radio Wireless Sensor Networks (CRWSNs) promise optimized spectrum
utilization but face challenges in sustaining energy balance, particularly due to the …

Recently, it has become critical to offer adequate spectrum bands for Internet of Things (IoT)
applications. The convergence of Cognitive Radio Networks (CRNs) with IoT is a significant …