A Time Slot Resource Optimization and Allocation Algorithm for Data Link Network Based on Particle Swarm Genetic Algorithm

Data link systems are widely used tactical information distribution systems in various countries, featuring short transmission delay and high transmission reliability. The issue that restricts the further performance release of data link systems is the limited time slots in the data link network. How to further utilize the time slots is one of the key research directions for data link systems in the future. Therefore, this paper proposes a time slot resource optimization and allocation algorithm for data link networks based on particle swarm genetic algorithm. This algorithm takes into account the constraints such as transmission distance and communication relay when nodes communicate in data link system, and models the optimization and allocation problem of time slot resources under constraints. A target function for maximizing the transmission benefit based on 0-1 programming and information priority is constructed. Through simulation, the transmission benefit optimization curves and the successful information transmission rates of the optimal time slot allocation schemes under different conditions are obtained. Through comparative analysis, it is proved that the particle swarm genetic algorithm proposed in this paper is reliable and effective in the time slot resource allocation of data link.