Modeling of bio-inspired algorithms AntHocNet and BeeAdHoc for Flying Ad Hoc Networks (FANETs)

Abstract

Due to versatility, flexibility and fairly small operating costs, the use of small unmanned aerial vehicles (UAVs) groups provides new opportunities for civil application. FANET (Flying Ad Hoc Network), similar to mobile peer-to-peer networks MANET and vehicular peer-to-peer networks VANET represents a special type of peer-to-peer ad hoc network based on UAVs. FANETs are characterized by high nodes mobility, dynamically-changing topology and movement in 3D-space. To organize multi-UAV network one needs to use special routing algorithms developed due to their specific features. The article gives a short overview of the existing FANET algorithms, as well as of the algorithms based on the swarm intelligence (of the ant and bee colonies). The experimental analysis was conducted, that proved the possibility of efficient application of bio-inspired algorithms. The analysis was performed on protocols AntHocNet and BeeAdHoc, simulating the behavior of bees and ants in wildlife, to solve the routing problems in FANETs.