Optimized Route Discovery and Node Registration for FANET

The capabilities of unmanned aerial vehicle (UAVs) have evolved gradually for their excess use in various domains. The new architecture flying ad-hoc network (FANET) was adopted recently, which took care of the UAV by providing various facilities. The excess use of the FANET due to the high mobility of the objects makes it popular among military and civilian applications to discover the optimum route. FANET is a part of the ad-hoc network which connects the UAV to solve the complex problems in the networking. In this paper, FANET has been used to optimize the problem of route discovery. The route discovery mechanism is designed by implementing algorithms to detect the optimum path. Besides, issues related to node registration and optimal routing method also have been focused. The proposed architecture uses a combination of artificial bee colony, AODV protocol, and Lagrange interpolation (LI). The performance of the proposed architecture is validated using three parameters, namely throughput, packet delivery ratio (PDR), and Jitter in different UAVs. The results are compared with existing techniques to show the effectiveness of the proposed work in terms of throughput rate and Jitter. The throughput rate has been improved by 48%, while for Jitter, it is revamped by 31%.