Research of Multi-UAVs Communication Range Optimization Based on Improved Artificial Fish-Swarm Algorithm

Abstract

Aiming at the secure communication problems between multi-unmanned aerial vehicles (multi-UAVs) caused by wireless signal strength increasing, a wireless communication model and UAV dynamic model is established in this paper. The UAV communication range is further narrowed by the application of improved artificial fish-swarm algorithm (IAFSA). By taking dynamic parameters as adaptive vision's coefficient and introducing virtual ocean currents into the artificial fish algorithm (AFSA), the drawback of slow convergence speed and more iteration has been made up by the IAFSA. It is proved by the simulation experiments that compared to AFSA, IAFSA has the advantage of fast convergence rate and less iteration when solving the problem of multi-UAVs secure communication. Additionally, the overall communication range has also been narrowed by the IAFSA.

Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols

“…In the routing protocol of UAV swarm systems, there are also embodiments of SI. In order to solve the problems of communication range expansion and information leakage, which are caused by the increasing scale of swarm, one study [95] proposed an Improved Artificial Fish-Swarm Algorithm (IAFSA). By adjusting the topology of the group, the proposed wireless communication model achieves secure communication purposes.…”

The Blessing and Curse of Emergence in Swarm Intelligence Systems

“…Examples of swarm intelligence systems relevant to trusted autonomy include swarm robotics [9][10][11][12], control of groups of unmanned aerial vehicles [13][14][15][16], control of autonomous land and underwater vehicles [17,18], network switching [19], economic load dispatch [20], the control of switching networks [21], and the control of chaotic non-linear networks [22].…”