41 results about "Routing protocol" patented technology

The application discloses a routing protocol analysis method and device, equipment and a storage medium. After obtaining a routing protocol to be analyzed, an attack point in the routing protocol to be analyzed is identified, the attack point is an attack purpose of an attacker, the path of the attack to be performed by the attacker to achieve the attack purpose is reversely searched in the routing protocol to be analyzed starting from the attack purpose of the attacker, a detection rule is generated for the attack path, and the routing protocol to be analyzed is analyzed based on the generated detection rule. The attack path is obtained by comprehensively searching in the routing protocol to be analyzed starting from the attack point. The detection rule is obtained by analyzing the attack path. The routing protocol is analyzed according to the detection rule. The possible vulnerabilities in the routing protocol can be comprehensively analyzed.

This invention provides a method for rapid perception of the topology status of a satellite constellation network. It deploys a multi-dimensional physical layer monitoring module, a dynamic adaptive BFD detection mechanism, the OSPF routing protocol, and a shared data exchange area between the BFD driver and the OSPF process on each satellite node. This invention utilizes physical layer signal status monitoring technology and the rapid link status detection capability of the BFD protocol to monitor the connectivity of inter-satellite links in real time. Upon detecting a fault, it immediately notifies relevant nodes via control messages. Simultaneously, it links the BFD detection results with the OSPF routing protocol, triggering immediate route recalculation, thereby shortening route convergence time. This invention constructs a cross-layer closed-loop linkage system, dynamically adjusting protocol layer detection parameters through physical layer perception data, and combining hardware acceleration to optimize the entire fault detection process. This not only accelerates fault detection and recovery but also improves the resource utilization efficiency and overall transmission efficiency of the inter-satellite network, ensuring high network reliability and stability.

The application discloses a method and device for constructing a folded hypercube edge-disjoint Hamiltonian cycle, and relates to the technical field of interconnection network topology. The method comprises the following steps: recursively constructing a first Hamiltonian cycle on an n-dimensional folded hypercube; applying a mapping f to each vertex u in the first Hamiltonian cycle, and sequentially connecting the mapped vertices in the original order to obtain a second Hamiltonian cycle; and the first Hamiltonian cycle and the second Hamiltonian cycle do not have any common edge in the n-dimensional folded hypercube. The above method provides key technical support for the topology design and routing protocol of a high-performance parallel computing system.

The application discloses a task coordination-oriented low-energy-consumption fast routing method for unmanned aerial vehicles, and belongs to the fields of wireless communication, unmanned aerial vehicle ad hoc networks and routing protocols. In view of the unmanned aerial vehicle routing problem under different network topological environments and different moving speeds, the application provides a task coordination-oriented low-energy-consumption fast routing method for unmanned aerial vehicles. The application enables the unmanned aerial vehicles to realize distributed routing, utilizes the channel state of the unmanned aerial vehicle group and the routing experience parameters of adjacent unmanned aerial vehicles and other information, adopts a reinforcement learning algorithm, optimizes the routing decision and transmission power of the unmanned aerial vehicles, satisfies the end-to-end delay constraint, and can carry out search and rescue and target tracking and other tasks based on sensing data and control messages. The application effectively improves the routing stability of the high-speed moving unmanned aerial vehicle group, reduces the end-to-end delay and reduces the routing energy consumption.

This invention discloses an EEG emotion recognition method based on multi-channel residual convolutional Transformer capsules, belonging to the field of artificial intelligence technology. The method acquires the user's EEG signal, including baseline and stimulus-evoked signals. After baseline correction of the stimulus-evoked signals, multi-scale spatiotemporal feature maps are extracted using a multi-channel residual convolutional network. These maps are then globally correlated and encoded using a Transformer network to obtain a global contextual feature sequence. Finally, these sequences are converted into primary capsule vectors and aggregated into emotion capsule vectors using a dynamic routing protocol. The emotion recognition result is output based on the magnitude of the emotion capsule vectors. By achieving multi-scale spatiotemporal feature fusion through multi-channel residual convolution, capturing global contextual dependencies through Transformer, and improving classification robustness through the dynamic routing mechanism of the capsule network, the method effectively improves the accuracy and generalization ability of EEG emotion recognition.

The application discloses a kind of unmanned aerial vehicle network routing methods based on radio environment map, comprising the following steps: using each node to update network topology according to the spectrum interference prediction information of radio environment map;Network is modeled as a weighted graph, wherein the weight of the edge between two adjacent nodes is a function related to the position of interferer, each node updates the corresponding routing path in real time according to local neighbor table, two-hop neighbor table and topology table.The application combines table-driven routing protocol and radio environment map, joint network layer and physical layer / link layer discovery routing to bypass spectrum interference area, realize stable routing between unmanned aerial vehicles in spectrum interference environment, with higher packet delivery rate, throughput.

This invention discloses an intelligent management system for flight route agreements based on hybrid parsing and a large language model, belonging to the field of intelligent management technology for flight route agreements. It includes a protocol digitization and secure storage module, a hybrid intelligent parsing and information extraction module, a structured storage and knowledge accumulation module, and an intelligent application and business empowerment module. This invention achieves accurate and automated extraction of key information from flight route cooperation agreements by employing a hybrid intelligent parsing mode that combines rule matching with LLM semantic understanding. It overcomes the inefficiencies and error-prone nature of traditional manual review and simple OCR technology. The system transforms the processing of agreement information from a human-search-for-information approach to an information-search-for-human approach, freeing managers from tedious and repetitive manual labor. It is estimated that this can improve the efficiency of related business processes and greatly reduce the risk of data errors caused by human negligence or misunderstanding, significantly improving the efficiency and accuracy of agreement management.

The application discloses a fuzzy path selection method of a routing protocol in a power internet of things, and comprises the following steps: calculating the covering time between system input nodes and the system utilization, and respectively obtaining the node covering time and the system utilization language state membership function; formulating a language rule according to the step, and obtaining the relationship between the input parameter node covering time, the system utilization language state and the output fuzzy probability language state; the language rule of all input and output functions is defined as a language fuzzy limit language; calculating the system output fuzzy probability, and obtaining the fuzzy probability language state membership function; calculating the sum of the cost between each node of each route according to the fuzzy probability; comparing the route cost of multiple routes, and selecting the route with the minimum cost. Compared with the prior art, the application has the beneficial effects that the technology can improve the routing selection efficiency of the power internet of things terminal device, and reduce the service data transmission delay.

This invention discloses a cross-layer communication method for emergency self-organizing networks based on TPUNB and WIFI, integrating broadband and narrowband technologies. This method constructs a heterogeneous broadband-narrowband converged architecture combining a WIFI star topology and a TPUNB-Mesh topology. It achieves virtual coordinate acquisition and dynamic updates for terminals through dual aggregation nodes. Based on a five-layer architecture, a protocol stack is designed to implement private data encapsulation at the application layer, a network layer AODV routing protocol construction using a greedy search algorithm based on anchor node virtual coordinates, collision backoff control at the data link layer, and fast ack radio frequency driver optimization at the physical layer. Cross-layer collaboration enables data encapsulation, transmission, and parsing. This invention improves the transmission efficiency and reliability of emergency communication networks, reduces congestion and data collision probabilities, adapts to emergency scenarios with randomly distributed nodes and low-speed movement, and solves problems such as low transmission rates, poor routing protocol adaptability, and congestion due to the lack of broadband-narrowband convergence in existing emergency communication systems.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute.

A system and method are provided for immersive video compression and continuous exploration using hierarchical Lorentzian latent structures. Spatiotemporal media is encoded into hierarchical mini-Lorentzian representations using Lorentzian autoencoders operating at multiple scales (Hmacro, Hmeso, Hmicro) that preserve tensor structure, temporal causality, and geometric relationships. The compressed representations are embedded in a Lorentzian manifold, where video content is organized as navigable geodesic trajectories. The hierarchy enables continuous multidimensional zoom operations, including fiber bundle expansion, semantic scale-shifting, and projection between scales, while maintaining semantic coherence and geometric consistency. Symbolic anchors, spatiotemporal routing protocols, and correlation-network-based restoration support intelligent navigation and high-fidelity decompression. Synthetic content is generated in context to extend exploration beyond original media boundaries. The architecture enables seamless transitions across spatial, temporal, spectral, and semantic dimensions for applications in immersive media, analysis, and visualization.

The invention discloses an air-sea cross-domain network routing protocol method based on fuzzy logic and learning optimization, which belongs to the technical field of air-sea cross-domain network communication, and comprises the following steps: taking each node in a network as an independent agent, and constructing a candidate forwarding set by maintaining neighbor node information to reduce an action space; a fuzzy inference system is introduced, a reward function is designed by integrating a residual energy factor, a node forward factor and a link quality factor, an algorithm iteration update value is combined, an optimal next-hop node is selected to complete data packet forwarding, and a forwarding failure reselection mechanism is set. According to the method, the data packet delivery rate is remarkably improved, the end-to-end delay is reduced, the network life cycle is prolonged, and the method is suitable for high-reliability data transmission in a complex air-sea cross-domain environment.

The application discloses an underwater mobile node routing method, device and equipment and a storage medium, and is applied to the underwater communication field.The method comprises the following steps: a time-varying graph model of a target node is constructed, and the time-varying graph model is updated every first preset time; a Q function is calculated according to the time-varying graph model to obtain Q values of different actions performed by the target node in a current state; a maximum Q value is selected from the Q values, and an action corresponding to the maximum Q value is determined as a target action of the target node; and the target action is executed, so that the target node forwards data to a routing node of a next hop.The method realizes high reliability, low delay, high energy efficiency and long network survival time of the underwater mobile node network by constructing the time-varying graph model of the node and making a decision by Q learning according to the time-varying graph model, and the problem that a connection prediction model of an existing routing protocol is mainly aimed at the influence of water flow on the position of a node and is not suitable for a high-dynamic mobile sensor network is avoided.

The application discloses a fast convergence networked anti-interference decision method and system of a wireless self-organizing network, and an implementation scheme thereof comprises the following steps: constructing a key networking state information set; setting multiple task scenarios, collecting interaction trajectories and dividing the interaction trajectories into a support set and a query set; constructing a meta-learning network model comprising a context inference network, a strategy network and a value network, taking a weighted sum of an expected cumulative return and a KL divergence penalty term as an optimization target, and obtaining a scene potential variable by decoupling a public strategy and scene-specific characteristics from the support set trajectory; inputting the potential variable and the key networking state information into the trained meta-learning network model in combination, and outputting a cross-layer joint anti-interference decision action comprising physical layer waveform selection, working frequency point selection and network layer routing selection. The application can effectively reduce state interaction and calculation overhead, improve the anti-interference capability of the wireless self-organizing network, and be used for combined strategy selection of physical layer waveforms and network layer routing protocols in the wireless self-organizing network.

The invention relates to the technical field of communication, in particular to a route issuing method and device, electronic equipment and a storage medium, which are used for reducing the number of peers of a controller and the complexity of a route protocol. The method is applied to a controller in networking, and the networking further comprises at least one POP. At least one border router is deployed in each POP, each border router is respectively accessed to at least one ISP, and the method comprises the following steps: respectively establishing an MP-IBGP peer with each border router by using a private network address; a private network VRF and at least one public network VRF are respectively configured on each border router; the private network address is bound with a private network VRF; and issuing first routing information to the border router through an MP-IBGP protocol, so that the border router converts the address family attribute of the first routing information from the VPN type to the IP type when determining that the first routing information is matched with a preset protocol conversion routing strategy during routing cross injection.

The application provides a routing parameter optimization method and system based on a Hohmann transfer optimization algorithm, and relates to the technical field of routing protocol optimization. First, routing nodes in a network switching system are initialized. When the routing nodes in the network switching system need to adjust routing protocol parameters, routing protocol data pairs are read from a historical routing protocol data set of the routing node. Iterative calculation is performed based on a Hohmann transfer optimization algorithm to simulate a double-pulse transfer process of a spacecraft between orbits, so that optimal routing protocol parameters of the routing node are obtained. The optimal parameters are sent to all neighbor routing nodes connected by ports, and the parameters of the neighbor routing nodes are modified based on the optimal parameters, so that synchronous optimization of the parameters of the whole network is realized. The scheme has the characteristics of extremely small calculation cost and strong robustness, meets the demand for real-time optimization, and is suitable for various network control architectures such as centralized and distributed architectures.

This invention relates to the field of communication network technology, specifically disclosing a dynamic link quality sensing and optimization system and method in a mesh topology. The optimization system includes: a round-trip time (RTT) sampling module for acquiring the RTT values ​​of each communication route link between the originating end and the target receiving end in the mesh topology; and a routing selection module for calculating the cost of the corresponding communication route links based on each set of RTT values, dynamically selecting communication route links with low-latency links as the preferred selection criterion. This invention measures the RTT of different routing paths between the originating end and the target receiving end in a mesh topology and uses the Babel routing protocol to select low-latency links as the preferred selection criterion, thereby dynamically optimizing the quality of each communication route link in a mesh topology communication network based on the Babel routing protocol. This effectively improves the accuracy of routing path optimization and the quality of communication route links in the communication network.

A system and method for latent geodesic traversal across multi-axis hyperspaces for real-time video reconstruction and augmentation. Spatiotemporal video data are compressed into navigable latent representations using hierarchical and Lorentzian autoencoders that preserve geometric and temporal structure. A geodesic traversal engine computes paths across spatial, temporal, spectral, and semantic axes, guided by symbolic anchors and spatiotemporal routing protocols. A correlation network restores fine detail, while an augmentation generator synthesizes additional or counterfactual content to enable infinite zoom, continuous multi-scale exploration, and temporally coherent augmentation. A strategy caching system preserves successful traversal patterns for reuse, supporting persistent learning and adaptive real-time performance.

The application discloses a kind of cellular and WiFi network aggregation communication systems and methods of intelligent vehicle, it is related to vehicle networking communication technical field.The system includes information entertainment controller IVI and remote communication controller TBOX, two by Ethernet or USB connection, and respectively integrate WiFi communication module and cellular communication module;Controller is embedded in perception monitoring and routing decision module, dynamic routing protocol module and data forwarding module.The application calculates the priority of WiFi link and cellular link by collecting network quality parameters and vehicle state information, adjusts default route using dynamic routing protocol to realize intelligent link selection, and optimizes traffic distribution combined with service type.The application realizes the intelligent switching and load balancing of double link based on scene perception, has the advantages such as seamless switching, reduces cellular charges, improves network reliability and deployment flexibility.

A method and related systems may generate and use a machine learning model that determines multiple outcome values for multiple message routes, where the model may account for unknown node values in one or more nodes during model creation. Some embodiments may then compare the multiple outcome values to select a target route for the message. Moreover, some embodiments may facilitate efficient network route determination through an adaptive weight node network by selecting different dynamic routing protocols based on critical thresholds.

The application provides a border gateway communication method and device and a border gateway, and belongs to the technical field of computers.The method is applied to a vector data packet processing framework, a routing protocol suite is loaded in the form of a plug-in in the vector data packet processing framework, and a routing table is stored in the memory of the vector data packet processing framework; the method comprises the following steps: judging whether the routing table needs to be updated; in the case that it is determined that the routing table needs to be updated, calling the routing protocol suite, updating the routing table by the routing protocol suite, and obtaining a new routing table for data transmission. The method avoids kernel bottlenecks and message loss risks, greatly simplifies a routing synchronization path, significantly improves the speed and scalability of protocol face routing loading, can support large-scale deployment, guarantees the real-time performance and accuracy of routing updating, and improves the routing loading speed and scale at the protocol level.

The application provides an information transmission method, a routing device and a storage medium, relates to the technical field of communication, and can enable as many routing nodes as possible to obtain related information such as an isolation policy between user groups, and then enable as many routing nodes as possible to execute a user isolation scheme based on a user grouping mode. The method comprises the following steps: a routing node can forward routing protocol information received from a controller to a neighbor routing node of the routing node in a local area network, so that the routing nodes in the local area network can all obtain the routing protocol information, wherein the routing protocol information is used for indicating an isolation policy and a corresponding relationship between users and user groups in the local area network, and the isolation policy is used for defining access rights between different user groups.

A method for controlling a communication protocol within a network based on at least one smart contract includes: executing at least one smart contract to constrain communication between a set of devices in the network; detecting, based on the execution of at least one smart contract, one or more devices from the set of devices whose communication within the network is restricted; and implementing one or more routing protocols based on at least one of the terms or conditions specified in at least one smart contract.

This invention discloses a message security detection method, device, and storage medium. The method includes: acquiring a message to be detected based on an intermediate system-to-intermediate system routing protocol; determining a first data structure for the message content based on the message to be detected; if a pre-determined message detection rule determines the existence of a historical message to be detected, analyzing the historical message and the first data structure to determine the message's legitimacy. This solves the problem of not being able to detect abnormal ISIS messages in a timely manner. By analyzing the message to be detected to determine the first data structure for the message content, and determining whether a historical message to be detected exists according to the pre-determined message detection rule, if so, analyzing the historical message and the first data structure to determine the legitimacy of the message to be detected, this invention achieves security detection of messages formed by intermediate system-to-intermediate system routing protocols, enabling timely detection of abnormal messages and improving data security.

A conditional high availability peering among all members of an all-active NGFW cluster is established. Data paths are monitored via a dynamic routing protocol capable of conditional advertisement, such as BGP, to detect network isolation failures. Peering can be temporarily suspended with the remote NGFWs by withdrawing the local IP address used for high availability peering to the remote NGFWs, responsive to the detected data path failure. Responsive to detecting a cure of the failed data path using said dynamic routing protocol, the high availability peering to remote NGFW nodes is automatically restored by resuming advertisement of the local peering IP address of the NGFW, wherein the high availability peering is reactivated for all remote NGFW nodes.

This application discloses a routing protocol testing method, system, and medium based on multi-segment simulation, belonging to the field of network communication technology. The method includes: constructing a virtual network environment, including multiple virtual network segments and virtual nodes, defining the topological relationships between network segments, and generating a network structure model; based on the network structure model, simulating the data packet sending behavior from multiple virtual source nodes in different virtual network segments, generating test data packets that need to be forwarded through multi-hop virtual routing nodes, and injecting them into the routing protocol instance under test; monitoring and recording the actual forwarding path and final arrival status of the data packets in the virtual network environment; and comparing the actual forwarding results with the expected routing results calculated based on the network structure model and routing rules to determine whether the routing logic is correct.