In this paper,we proposed a CGR-QV algorithm in order to solve the problems of low message delivery rate and low throughput problems in deep space communication networks,which are caused by the high delay,asymmetric d...In this paper,we proposed a CGR-QV algorithm in order to solve the problems of low message delivery rate and low throughput problems in deep space communication networks,which are caused by the high delay,asymmetric data transmission rate,and frequent topology switching characteristics.The proposed method separate different message types in the queues,establish the relationship between TTL,wait time and Hurst to prevent the phenomenon of"starvation"and redundancy.In view of the impact of congestion on the network,improved algorithm use the Elastic load balancing strategy establish the relationship between optimal thresholdsαand network performance reliability.Simulation result show that the algorithm has improved in throughput as about 19%,message delivery rate improved as about 7.5%and bandwidth rejection rate decreased as about 4.7%,the algorithm can balance the impact of topology updates and resource consumption better in space communication networks.展开更多
基金supported by National Natural Science Foundation of China(No.61722105)。
文摘In this paper,we proposed a CGR-QV algorithm in order to solve the problems of low message delivery rate and low throughput problems in deep space communication networks,which are caused by the high delay,asymmetric data transmission rate,and frequent topology switching characteristics.The proposed method separate different message types in the queues,establish the relationship between TTL,wait time and Hurst to prevent the phenomenon of"starvation"and redundancy.In view of the impact of congestion on the network,improved algorithm use the Elastic load balancing strategy establish the relationship between optimal thresholdsαand network performance reliability.Simulation result show that the algorithm has improved in throughput as about 19%,message delivery rate improved as about 7.5%and bandwidth rejection rate decreased as about 4.7%,the algorithm can balance the impact of topology updates and resource consumption better in space communication networks.
