A BSA based Communication Strategy for Energy Efficient Flying Ad-hoc Network (FANET)

Abstract

The Unmanned Ariel Vehicles (UAVs) and drones are introduced in a multidimensional environment over Flying Ad-hoc Network (FANET) to utilize the strength and efficiency of these devices for huge applications in various fields like military, disaster relief and medical. The appropriate routing and efficient flight time are not well utilized by drones because of maximum mobility and least battery energy of drones; this generates inefficient communications among drones and enhances the transmission cost over FANET. Here, a Bird Swarm Algorithm based Routing (BSAR) is implemented to reduce the limitations of drones by enhancing the performance of drones in terms of energy. The BSAR is implemented in MATLAB 2019a tool and performance is evaluated in terms of the packet delivery ratio, power consumption and end to end delay, which show the better efficiency of BSAR as compared to OLSR, P-OLSR and ML-OLSR-FIFO.