REAL-TIME TASKS ALLOCATIONS BASED ON HHO FOR FLYING AD HOC NETWORKS

Abstract

In recent times, the use of drones has become powerful across various fields such as transportation, military applications, photography, and more. These unmanned aerial vehicles (UAVs) prompt us to consider enabling data exchange and communication among them to enhance task performance. This concept leads us to Flying Ad Hoc Networks (FANETs), which involve creating wireless networks among flying nodes like drones. However, there are several challenges associated with this technology, including limited battery life and the distance between drones. To address these challenges, researchers propose leveraging the Harris Hawks Optimization (HHO) algorithm. Inspired by the collaborative flying strategy of Harris’s Hawks, the goal of this research is to optimize FANET topology to achieve the maximum number of tasks performed by these drones while incorporating the behavioral characteristics of