Dynamic Channel Allocation Technique for Cognitive Radio based UAV Networks

Unmanned Aerial Vehicles (UAVs) are the modern technology for Public Safety Communication Systems. With the integration with wireless & cellular networks, UAVs can offer dynamic solutions to resolve various communication challenges. Swarm of UAVs collaborates to form a wireless ad hoc network with applications in different areas of life. The line-of-sight connectivity provided by unmanned aerial vehicles (UAVs) is their most unique feature. Within the shortest time, UAVs can provide wireless access in facing sudden congestion situations. The mobility and connectivity of UAVs are dynamic. Drones can be used to transmit & receive data from a variety of flying and ground devices (connecting with ground controllers & unmanned aerial vehicles). For reliable and secure effective communication, UAVs require massive Bandwidth. However, Bandwidth is a limited resource. So, Cognitive Radio Technology is a prospective technique to overcome from this critical moment. Cognitive Radio technology can detect available free channels, can utilize available Bandwidth, and operate spectrum management. Cognitive Radio-based UAV Network is an intelligent device-to-device communication system where a hundred devices are connected through a wireless communication model. This research article suggests an approach for prioritizing channel allocation in a Cognitive Radio-based UAV Network using the Fuzzy Logic Algorithm.