Traffic Aware Load Balancing Routing Algorithm in Satellite Terrestrial Cooperative Network

With the continuous development of satellite communication technology, the Satellite Terrestrial Cooperative Network(STCN) plays an increasingly important role in global communication. However, due to the complexity and dynamics of the STCN, traditional routing algorithms are difficult to meet the demand for efficient data transmission. In order to improve the throughput of dynamic STCN topologies, this paper proposes a traffic-aware load-balanced routing algorithm to further reduce the impact of network bottlenecks. The algorithm uses genetic optimization algorithm combined with artificial bee colony algorithm to make the routing paths diverse to avoid the algorithm from falling into local optimum, and sets a congestion-aware mechanism on its basis to solve the load congestion problem. Simulation results show that the algorithm can effectively reduce network delay, improve throughput, and enhance the adaptability and stability of the network.