Multipath QoS Routing Algorithm With Area Flooding Protocol In Detnet-LEO Satellite Network

The emerging industrial Internet will establish a global intelligent network covering the whole cycle of production,management,and service,the LEO satellite networks can provide seamless global coverage,consequently,the LEO satellite network will become an important way for the industrial Internet.Industrial Internet requires Gbit-level bandwidth,millisecond-level transmission delay,and10^-6-level packet loss rate,but the current satellite network is still based on a"best-effort"packet IP network,which cannot realize the strict service requirements.To address this problem,the IETF working group proposed Det Net,which uses network layer mechanisms to ensure the reliability of data service transmission.However,satellite resources are scarce,can hardly support high-demanding services.The increasing satellite network traffic and the scarcity of on-board resources have created an urgent need for efficient routing solutions.The topology of LEO satellite network is changing all the time,and its route search is a dynamic problem,while the traditional route uses static algorithms,cannot adapt to the dynamic route.Most network traffic occurs in fixed areas,and domestic traffic greatly exceeds international traffic,which leads to a load imbalance and a sharp Qo S decline in LEO satellite communication systems.Therefore,achieving deterministic routing in dynamic LEO satellite networks and designing deterministic routing network protocols becomes the primary issues based on global traffic distribution and scarce satellite resources.This paper focuses on LEO satellite networks routing,designs a multipath Qo S routing strategy,and proposes a flooding protocol based on the OSPF.The main contents are as follows:（1）LEO satellite links have small bandwidth and poor stability,and it is difficult to achieve strict service requirements using single-path links.While,multipath Qo S routing is an important method to improve communication bandwidth and stability,which is a basic method to achieve strict service requirements in LEO satellite networks.This paper proposes a multipath Qo S routing strategy based on Q-routing to find multiple non-intersecting paths with optimal Qo S.This strategy comprehensively considers the three factors of latency,bandwidth,and packet loss rate,the three factors are weighted together to generate establishes the maximum Qo S objective function with user benefits.Based on this model,this paper designs a multipath Qo S routing strategy based on the improved Q-routing algorithm and the node disjoint idea.Compared with other algorithms,this strategy can solve the routing problem in dynamic networks.Experiments show that the proposed algorithm can find paths with better Qo S.（2）Usually,routers floods their links state information to calculate Qo S routes,but the link state messages flooding in large-scale networks is highly likely to lead to network congestion.Researchers propose many area routing protocols in the Internet and MANET,but none can be directly applied to LEO satellite networks.This paper proposes a SVM-based Zone Flooding Protocol for Same Orbit Primary Path–Different Orbit Deputy to transmit network Qo S parameters at a lower cost.First,the protocol divides the constellation into the backbone and regular regions according to the distribution of continental plates,it divides the huge area into independent small regions,aiming to hand over high-cost but low-frequency international routing to idle satellites.Next,this paper designs the LSI triggering method and introduces Support Vector Machine（SVM）to predict the link bandwidth.The bandwidth prediction and other link information will be encapsulated in the LSI,and LSI will be flooded to the corresponding network area using LSCZFP.In the LSCZFP,an inter-regional routing mechanism is set up to allow cross-regional LSI,and a fault satellite avoidance algorithm is set up to avoid flooding interruption.Experiments show that compared with the traditional flooding method,this method significantly reduces information redundancy at a low time cost in most cases.