An Ant-Hocnet Routing Protocol Based on Optimized Fuzzy Logic for Swarm of UAVs in FANET

Drones or unmanned aircraft are commonly known as aerial vehicles (UAVs), and the ad hoc network formed by these UAVs is Flying Ad Hoc Network (FANET). FANET were initially associated with military surveillance intelligence gathering; moreover, they now excessively used in civilian roles including search rescue, traffic monitoring, firefighting, videography, smart agriculture. However, due to distinctive architecture, pose considerable design deployment challenges, prominently related routing protocols, traditional protocols cannot be directly FANET. For instance, high mobility sparse topology, frequent link breakage route maintenance incur overhead latency. In this paper, we employ bio-inspired Ant Colony Optimization (ACO) algorithm called “Ant-Hocnet” based on optimized fuzzy logic improve Fuzzy analyze information about status of wireless links, such available bandwidth, node mobility, quality, calculate best links without a mathematical model. To evaluate compare our design, implemented it MATLAB simulator. The results show that approach offers improvements throughput end-to-end delays, hence enhancing reliability efficiency