A Distributed Congestion Control Routing Protocol Based on Traffic Classification in LEO Satellite Networks

With the explosive growth of communication traffic and the non-uniform distribution of users in low earth orbit (LEO) satellite networks, the problem of link congestion becomes more serious, which result in the emergence of congestion control protocols. Load balance, congestion prediction and faster calculation are the basic requirements of the congestion control routing protocol, and lower overhead and higher users' satisfaction are the further goals. We propose a distributed congestion control routing protocol based on traffic classification in LEO satellite networks (DCCR) which uses a low-overhead distributed scheme to compute the routing and uses a traffic classification strategy to optimize the performance of the distributed scheme in congestion control. We divide the traffic into three types and design routing strategies for each type of traffic according to the occupancy level of the satellite, to improve users' satisfaction while balance the load. In the part of the simulation experiment, we compared the performance of DCCR with some existing congestion control algorithms and verified the advantages of the proposed protocol in reducing delay and balancing load.