METHOD FOR OPTIMISING ROUTES BASED ON THE BEHAVIOUR OF SNAKES IN UAV DATA EXCHANGE SYSTEMS

Abstract

The paper proposes a method for optimizing routes in unmanned aerial vehicle (UAV) data exchange systems based on a bio-inspired model of snake behaviour (Snake Routing Optimisation Method, SROM). The method implements an adaptive search for the optimal route, taking into account network dynamics, energy consumption, transmission delays, and communication channel stability. Unlike known evolutionary approaches, the SROM algorithm combines local optimization and collective interaction between agents, ensuring fast convergence and the ability to avoid local minima. Objective. To develop a method for optimising routes based on the behaviour of snakes in UAV data exchange systems. Methodology. The methodological basis of the study is a bio-inspired approach to route optimization, in which the search process is viewed as the collective behaviour of agents, analogous to the movement and adaptation of snakes in their environment. Scientific novelty. The scientific novelty lies in the development of a bio-inspired method for optimizing routes in UAVs, which combines a collective model of agent behaviour with local real-time path improvement. Unlike known evolutionary and swarm algorithms, the proposed approach introduces a mechanism of adaptive route ‘movement’ based on the principle of changing the configuration of the “chain” of nodes. Conclusions. The proposed bio-inspired route optimization method demonstrates the ability to adaptively form stable and efficient data transmission paths in dynamic UAV networks.