Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network
Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network
Blog Article
The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links fr9352 may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC) was proposed, which combined syil x5 price genetic algorithm with artificial bee colony algorithm to avoid local optimization.
Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm, the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio.