Congestion detection and quality impact analysis using a fuzzy technique in flying ad hoc networks

The Flying Ad hoc Network is a promising technique for transferring information from Unnamed Arial Vehicles (UAVs) to UAVs, UAVS to base station or satellite. The UNVs or drones, are the high-tech devices that can carry a large amount of information compared to the sensors. The battery capacity of UAVs is sufficient for communication, and normally, charging of devices is possible. UAVs create dynamic links, and heterogeneous UAVs can communicate with each other in highly dynamic environment Although there is no infrastructure in this network, the nodes, or UAVs, can process a lot more data than sensor devices. Additionally, short-range wireless links perform significantly better than high-altitude wireless links because of the low altitude of UAVs, but bandwidth capacity is limited. In this paper, we propose a fuzzy-based, efficient AODV routing approach for improving Quality of Service (QoS). For instance, the amount of speed necessary to maintain wireless connectivity is decreased when a UAV has a good communication channel with the ground station. One of the key elements in assessing the performance of the network is routing. The proposed fuzzy rules always select the paths with a balanced load and reliability for transferring the data between sender and receiver. The improvement of Quality of Service (QoS) by reducing bandwidth consumption, controlling traffic, and transferring collected information without any loss of data The performance of the proposed Fuzzy-AODV is compared with normal AODV routing, and the performance of Fuzzy-AODV is better. To maintain the network lifetime and maintain the ratio of successfully delivered packets, routing mechanisms will adaptively select routes using minimum cost routing and conventional routing schemes.