421 results about "Network routing" patented technology

The invention discloses a multi-agent collaborative data exchange dynamic routing optimization method and system, and relates to the technical field of network communication, and the method comprises the steps: obtaining the real-time state information of each node in a network, and outputting a node state data set; constructing a historical state sequence of each node, calculating a load change trend, and outputting a routing adjustment signal when the load change trend reaches a load critical value; calculating a collaborative weight according to the network contribution degree of each agent, establishing a task allocation mapping relationship among the agents based on the collaborative weight, and outputting a collaborative scheduling result; determining a candidate path set, performing index evaluation on paths in the candidate path set, and outputting an optimal routing path; and executing data transmission, obtaining a quality difference between an actual transmission effect and an expected effect, and performing parameter correction. According to the invention, active optimization and multi-target balance of network routing are realized, and routing efficiency and system stability in a dynamic network environment are improved.

The invention belongs to the technical field of communication, and discloses a network transmission management method and system, and the method comprises the steps that a data collection module collects multi-dimensional data in real time; the decision planning module optimizes a network route; the decision planning module performs protocol and encryption switching; the execution module dynamically adjusts the transmission strategy; the safety protection module performs four-dimensional dynamic protection on the data; the hybrid cloud deployment module guarantees the confidentiality of core data; the multi-active data center module realizes data synchronization among a plurality of data centers; the cross-domain collaborative module realizes privacy protection collaborative training between edge nodes through federated learning; and the block chain auditing traceability module records the key operation log. According to the method, routing and flow prediction are optimized through a mixed quantum classical calculation engine, multi-protocol heterogeneous scheduling and neural mimicry congestion control are combined, the network transmission efficiency is greatly improved, the data transmission speed is improved, and the data leakage risk is reduced through application of a zero-trust security matrix and a quantum key distribution technology.

The invention provides an intelligent computing fusion network routing system and a routing method thereof. The system comprises an entrance gateway, a routing forwarding node, a computing node and a computing network controller, the computing network controller is used for carrying out path selection and computing resource allocation in combination with a real-time network state and load information of the computing node, dynamically generating and updating a computing network routing table through a computing network fusion routing algorithm, and issuing the computing network routing table to the entry gateway and the routing forwarding node; and the entry gateway receives and stores the computing network routing table issued by the computing network controller as a data stream access point, receives a computing power data stream which is input from the outside and carries a computing power service request, executes computing power routing table matching according to the computing power service request, and forwards the computing power data stream to a proper routing forwarding node according to a matching result. According to the invention, by optimizing the joint scheduling of the computing power service paths and the computing nodes, a plurality of paths of the anycast computing power routing and the weights of the paths are generated, the service flow level load balancing is realized, and the end-to-end time delay is reduced.

The invention provides a multi-layer satellite network routing method and system based on multi-agent deep reinforcement learning. The method comprises the following steps that: a plurality of low-orbit satellites train respective executor networks by adopting a distributed multi-agent reinforcement learning algorithm to realize routing decision; and one medium-orbit satellite trains a global evaluation network according to the local parameters of the performer network uploaded by the plurality of low-orbit satellites, and provides the global parameters of the trained global evaluation network to each low-orbit satellite, so that the low-orbit satellites update respective local evaluation networks according to the global parameters. And updating respective executor networks according to the updated local evaluation network. According to the multi-layer satellite network routing method and system based on multi-agent deep reinforcement learning, dynamic optimization of a routing strategy can be realized in a medium and low orbit satellite network, and the overall performance of the satellite network is remarkably improved.

The invention relates to a satellite network distributed routing method, a satellite network distributed routing system, satellite network distributed routing equipment and a storage medium, belongs to the technical field of wireless communication, and solves the problems of dynamic topological structure change and overlarge load of part of nodes caused by non-uniform service volume distribution in the existing satellite network routing method. The satellite network distributed routing method comprises the following steps: firstly, modeling a routing problem, constructing a problem model, then defining a state space, an observation space, an action space and a reward function of a Markov decision process, constructing a DDQN-based satellite network routing algorithm training framework based on the Markov decision process, and constructing a satellite network routing algorithm training framework based on the DDQN. And then a satellite network routing algorithm training framework based on DDQN is utilized to realize satellite network routing decision, and the network load is reduced with the purpose of minimizing end-to-end delay. The method is not influenced by the dynamic change of the network topology, and can adapt to the frequent network topology change of the low-orbit satellite, thereby ensuring the real-time performance and robustness of data transmission.

The invention discloses a network-on-chip routing method and device, routing nodes, equipment, a medium and a product, and relates to the technical field of network-on-chip, and the method comprises the steps: firstly, screening the routing nodes through employing the input direction of a message, and limiting the selection range of the next-hop routing node; the relative position of the target routing node relative to the current routing node is determined, the routing nodes are further screened according to the relative position, and candidate routing nodes are determined; and determining a next-hop routing node according to the cache capacity and the input direction of the candidate routing node, and transmitting the message to be transmitted to the next-hop routing node to complete routing. The problem that the routing of the network-on-chip is easy to cause network message blockage or link failure of the network-on-chip can be solved. According to the method, an input direction is adopted to limit a selection range of a next-hop routing node, a relative position is adopted to determine candidate routing nodes, the next-hop routing node is determined in the candidate routing nodes based on cache capacity, and self-adaptive deadlock-free routing is realized.

Techniques are described for routing traffic through an interconnect cloud gateway based on cloud traffic routing indicators. The interconnect cloud gateway can advertise the cloud traffic routing indicators, which can include cloud indicators and transport gateway indicators. The cloud indicators can include cloud tags utilized to route cloud traffic. The transport gateway indicators can include transport gateway flags utilized to identify private networks utilized to route the cloud traffic. The cloud traffic can routed during normal private network operation through private networks, which can be dynamically replaced by public networks due to occurrences of failures preventing the data traffic from being routed through the private networks and to cloud networks.

A system manages network traffic in a distributed system comprising a plurality of network devices. The network devices are divided into a plurality of network slices, each of the network slices including a subset of the network devices such that there is no overlap of network devices between the network slices. Individual network slices are associated with individual slice controllers, and an individual slice controller is configured to manage network routing of an individual network slice. Each of the individual slice controllers route the network traffic within each respective individual network slice. The network traffic is independently routed based on expected network conditions for each respective individual network slice, and data defining routing decisions is contained within each network slice to limit fault effects between the network slices.

Methods and systems related to parallel computing using heterogeneous networks of computational nodes are disclosed herein. A method for executing a complex computation on a heterogeneous set of computational nodes linked together by a set of links in a network is disclosed. The method includes compiling, using a table of bandwidth values for the set of links in the network, a set of instructions for routing data for the execution of the complex computation. The method also includes configuring a set of programmable controllers on the heterogeneous set of computational nodes with the set of instructions. The method also includes executing the set of instructions using the set of programmable controllers. The method also includes routing data through the network to facilitate the execution of the complex computation by the heterogeneous set of computational nodes and in response to the execution of the instructions.

The invention provides an integrated circuit power supply network wiring optimization method, a computer device and a storage medium. The method comprises the steps of performing initial wiring based on initial parameters and constraint conditions; evaluating the connectivity state of the power supply network after initial wiring, if the number of unconnected pins of the power supply network does not meet the set requirement, performing connectivity optimization calculation on the power supply network, and adjusting wiring parameters of the power supply network to enable the number of the unconnected pins to meet the set requirement; the power supply voltage drop state of the power supply network is evaluated, if the power supply voltage drop value under the worst condition is larger than a preset power supply voltage drop threshold value, power supply voltage drop optimization calculation is carried out, and the power supply voltage drop value under the worst condition is reduced to be below the power supply voltage drop threshold value by adjusting wiring parameters of the power supply network; and carrying out wiring on the power supply network based on the finally determined wiring parameters obtained by power supply voltage drop optimization calculation. The computer device and the storage medium can realize the method. According to the invention, the calculation efficiency of wiring optimization can be improved.

The disclosed computer-implemented method includes determining that incoming media item requests are to be skewed from a random distribution among server nodes, using a random distribution algorithm, to a directed distribution among the server nodes. The method then includes identifying, in a loading assignment, which media items are to be loaded onto specific server nodes to produce the directed distribution of media item requests. The method next includes preloading the identified media items onto the server nodes according to the loading assignment and receiving media item requests for the preloaded media items. The method then includes routing the received media item requests to the server nodes using the random distribution algorithm, where the random distribution algorithm is skewed to the directed distribution based on the preloading of the media items according to the identified loading assignment. Various other methods, systems, and computer-readable media are also disclosed.

The invention relates to a self-adaptive control method and device for an urban rail transit energy router. The method comprises the following steps: acquiring network routing energy data and network routing spatio-temporal data corresponding to a rail transit network; according to the network routing energy data and the network routing spatio-temporal data, analyzing a spatio-temporal-electric energy relationship of the rail transit network to obtain spatio-temporal electric energy distribution data; performing class energy state transition analysis on the space-time electric energy distribution data to obtain network energy state real-time evolution data; and adjusting calculation parameters of the time-space electric energy distribution data by using the network energy state real-time evolution data until the stability of the network energy state real-time evolution data accords with a preset stability parameter, thereby obtaining network energy routing control data corresponding to the rail transit network. By adopting the method, the self-adaptive adjustment capability of the real-time operation state can be met, and the energy utilization efficiency can be improved.

The invention discloses a multipath relay transmission method and system for underground confined space construction data, and belongs to the technical field of wireless communication network routing, and the method comprises the steps: obtaining a signal quality parameter of a communication link and a distribution density parameter of an ad hoc network node, and combining the load state of the node and the information of a neighbor node, decision calculation is executed on a plurality of relay nodes in parallel, relay decision vectors corresponding to the relay decision vectors are generated, a plurality of candidate transmission paths are formed through evaluation, construction data blocks to be transmitted are fragmented and distributed to the corresponding optimal candidate transmission paths to be sent in parallel, all received data fragmented sub-blocks are verified and recombined, and the construction data blocks to be transmitted are obtained. And recovering a complete construction data block. A distributed relay decision based on network state feature fusion, data adaptive fragmentation based on path stability and a multipath parallel transmission and feedback optimization mechanism are adopted, so that the data transmission reliability in an underground complex environment can be improved, the transmission delay is reduced, and the dynamic optimization of network performance is realized.

This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

The invention discloses a combined harvester multi-cluster networking system and method based on a hierarchical Mesh architecture. The combined harvester multi-cluster networking system comprises an intelligent WI-SUN node module, a wireless Mesh network routing gateway, a bypass route, a repeater and a cloud server. And the intelligent WI-SUN node modules are deployed on each combine harvester. The intelligent WI-SUN node module is used for realizing a communication network in a cluster; and each combine harvester performs intra-cluster data transmission with the combine harvesters in the cluster through a built-in intelligent WI-SUN node module. And wireless Mesh communication between clusters is realized by the master node and the wireless Mesh network routing gateway of the clusters, and data aggregation is completed through a bypass route and is transmitted to a cloud server. Therefore, the combined harvester cluster based on the hierarchical Mesh architecture can realize a larger communication range, better penetration capability and anti-interference capability, is suitable for low-power design of large-scale equipment connection, and remarkably improves the real-time acquisition and transmission reliability of agricultural operation data.

A system can execute a containerized application that comprises a microservice in a decentralized service mesh architecture, and a sidecar. The system can intercept, by the containerized application, a call from the microservice that is directed to a remote endpoint, and direct the call to the sidecar. The system can communicate, by the sidecar to an identity manager, service account credentials associated with the microservice, resulting in receiving an identity token associated with the microservice. The system can determine, by the sidecar, connectivity information of the remote endpoint based on a virtual address of the remote endpoint identified in the call. The system can communicate, by the sidecar to a token exchanger, the identity token and the connectivity information, resulting in receiving an access token and a network route to the remote endpoint. The system can relay, by the sidecar, network traffic between the microservice and the remote endpoint.

The invention discloses an unattended hydropower station intelligent safety prevention and control system and method, and the system comprises a sensing layer, a network layer, a platform layer and an application layer, the sensing layer is provided with multiple types of sensors, and collects equipment operation parameters, a dam structure state, a reservoir area hydrological environment and perimeter image data in real time; the underwater sonar, the unmanned aerial vehicle and the camera are included to realize omnibearing monitoring; the network layer adopts 5G + LoRa dynamic fusion networking, and a deep Q network routing algorithm is integrated through an intelligent gateway. According to the intelligent safety prevention and control system and method for the hydropower station based on unattended operation, the structure is reasonable, a three-dimensional monitoring network is constructed through vibration / temperature / pressure sensors, underwater sonar, an unmanned aerial vehicle, an AI camera and the like, and equipment operation parameters, the dam structure state, the reservoir area hydrological environment and perimeter image data are collected in real time; all-around dead-corner-free monitoring of equipment, structure and environment of the hydropower station is achieved, and the system is worthy of popularization.

The invention discloses a shipborne communication data encryption transmission method and system based on a satellite 5G fusion network, and relates to the technical field of satellite communication encryption. Data classification and priority division: dividing the data into five types of navigation instructions according to service types, marking P1-P4 priorities, and adding information; encryption strategy selection: adding random salt values by using algorithms such as hybrid encryption, AES, DES, TEA and the like according to priorities; network routing is fused, satellite and 5G state parameters are collected, and paths are selected according to priorities; real-time encryption transmission, fragmentation and information addition are carried out, FEC is used for satellites, and HARQ is used for 5G; the transmission state is monitored and dynamically adjusted, and the parameters are synchronously encrypted during over-limit time adjustment and switching; decrypting and verifying, namely decrypting and verifying after verifying and recombining; secret key updating management, life cycle setting, KDC distribution and emergency updating are carried out. According to the method, the shipborne data transmission security and network adaptability are improved, the encryption efficiency and continuity are optimized, the cost is reduced, multiple scenes are adapted, and the security and high efficiency of maritime communication are ensured.

The invention discloses an MPR set selection method based on a binary penguin group optimization algorithm, and belongs to the technical field of computer network routing protocols. According to the method, the problems of local optimum, single selection standard and the like in MPR set selection in an OLSR protocol are solved, and the method comprises the steps that coordinate information and speed information are added to a HELLO message by an unmanned aerial vehicle node, and the link life is obtained through calculation; a fitness function is obtained through a binary emperor penguin group optimization algorithm according to four parameters of node connectivity, link life, node willingness and the number of MPR nodes, and then an MPR set with the maximum comprehensive quality is selected.

A system including a server and a wireless RF access node connected to a communication network is provided. The server provides a first publish-subscribe broker of one or more publish-subscribe brokers forming part of a publish-subscribe broker network. The server connects to the wireless RF access node. A first entity connects via the wireless RF access node to the first publish-subscribe broker using a unicast IP address and thereafter publishes data packets. A second entity connects to the publish-subscribe broker network via any of the one or more publish-subscribe brokers. The server provides packet distribution services via the first publish-subscribe broker for the first entity, the publish-subscribe broker network routes communications from the first entity to the second entity when the second entity is subscribed; and the data packets published by the first entity are routed through the publish-subscribe broker to which the second entity is connected.

The technologies described herein are generally directed to selecting network routes based on aggregating models that can predict routing performance in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include communicating, to second routing equipment, a first model describing a delay predicted to be caused to a future communication by the future communication being transited via the first routing equipment. The method can further include receiving, from the second routing equipment, a current communication for transit via the first routing equipment to destination equipment, wherein the first routing equipment was selected by the second routing equipment based on the first model, and second models, other than the first model, describing respective predicted delays from other routing equipment other than the first routing and second routing equipment.

Systems and methods are disclosed for optimizing network routing and data processing through dynamic route optimization. The invention features a dynamic route optimization engine that uses real-time performance metrics such as latency, bandwidth availability, memory utilization, CPU load, and throughput capacity. It allows for rule-based configurations, enabling custom parameters for transaction processing, data retrieval, and user authorization. Integration with network monitoring tools provides continuous visibility into network performance. The system supports multi-cloud and hybrid cloud environments, dynamically selecting optimal paths based on real-time conditions and regulatory compliance. Predictive analytics anticipate network congestion, allowing proactive routing adjustments. Adaptive algorithms learn from past conditions to optimize performance continuously. Scalability is achieved through automated updates to routing tables and security groups. The invention reduces latency and ensuring efficient data transfer, providing a cost-effective and reliable solution for modern network management, addressing a long-standing need for adaptability and efficiency in network routing.

The invention discloses an underwater multi-target routing method based on an improved non-dominated sorting genetic algorithm. The method comprises the following steps: firstly, arranging sensor nodes in a target water area, networking, and encoding a feasible path from a source node to a target node by adopting a segmented structure; secondly, constructing a routing multi-target fitness function, and introducing a dynamic weighting function to form a comprehensive fitness index; and finally, grading the population by using an improved non-dominated sorting genetic algorithm, and exploring a better path through crossover and mutation operations. And designing a reference point elite selection strategy, improving the coverage of the solution set in the target space, and outputting an optimal routing path until the algorithm converges. According to the method, the dynamic balance among different optimization targets can be realized, and the link quality is considered while the energy consumption and the time delay are reduced, so that the network routing performance is improved.

The invention discloses a software and hardware cooperation system and method for satellite network routing simulation, and mainly solves the problem that an existing simulation scheme is difficult to consider high fidelity of protocol behaviors and high performance of data forwarding in a high dynamic satellite network. The system comprises a software control plane unit, a hardware data plane unit, a satellite network simulation upper computer and a switch, and the switch is bidirectionally connected with the software control plane unit, the hardware data plane unit, the satellite network simulation upper computer and the switch and serves as a data exchange platform of the system. The satellite network simulation upper computer is used for system configuration management, operation state monitoring and result visualization; the software control plane is used for executing simulation calculation and routing decision of a satellite network routing protocol and generating a standardized forwarding table item; and the hardware data plane unit performs high-speed and deterministic table lookup forwarding according to the standardized forwarding table item, and simulates a satellite resource constraint environment. According to the method, the integrity of protocol simulation details is guaranteed, meanwhile, high-efficiency forwarding performance and non-interruption updating in a high-dynamic environment are achieved, and the method can be used for routing protocol verification, network performance testing and satellite-borne algorithm evaluation of large-scale low-orbit satellite constellations.

The invention discloses an automatic guided vehicle path planning method based on a selection probability correction ant colony algorithm, relates to the field of intelligent optimization algorithms, and is suitable for logistics path optimization, robot navigation, intelligent traffic scheduling, network routing optimization and other application scenes needing to solve a combinatorial optimization problem. According to the method, an ant colony algorithm automatic guided vehicle path planning model is constructed, a straight movement preference probability correction mechanism is established, a sudden change point probability correction strategy is formulated, a pheromone redistribution rule is designed, the short-distance direction change frequency is reduced, the occurrence frequency of sudden change points is reduced, the attraction of a later-stage high-quality path is enhanced, and the path smoothness is improved.

The invention discloses a wafer-level integrated system-oriented network-on-chip routing architecture and a working method thereof, the network-on-chip routing architecture forms a two-dimensional mesh topology structure by a plurality of router nodes, and routers are connected with one another through crisscrossed links in four directions; the basic unit of the network-on-chip field area routing architecture is a router; according to the system, flexible configuration of routing tables and functional modules of all routers is realized through a configuration packet in a specific format. The system adopts a detection method based on a heartbeat packet, a router actively sends a heartbeat request to a neighbor and waits for a response, and meanwhile, a layered health state monitoring mechanism is realized at an on-chip network field level. According to the mechanism, a local monitor is responsible for summarizing router and link states in a region, and a global monitor integrates information of each region to generate a field-level health report. The configuration and fault detection method provided by the invention has the advantages of flexibility, high efficiency, high expandability, high detection precision and the like, and is suitable for the network-on-chip in a large-scale wafer-level integrated system.

The invention discloses a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation system and a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation method. The system comprises a heterogeneous computing power prototype subsystem, a virtual simulation subsystem, a satellite-borne general computing terminal, a programmable network simulator, a heterogeneous resource management subsystem and a simulation verification system interface. Real hardware computing power characteristics are introduced through a physical board card, large-scale expansion is realized through virtual nodes, and authenticity and large-scale performance of simulation are considered; link parameters are generated according to a high-precision orbit dynamics model, and the fidelity of sky-ground network simulation is greatly improved; based on a mixed container arrangement technology, unified management and intelligent scheduling of sky, air and ground heterogeneous resources are realized, and a powerful platform is provided for verifying an advanced cross-domain collaborative algorithm; one set of system can support various simulation verification requirements of networking routing, task unloading, distributed cooperative computing, constellation cluster management and control and the like, and the research and development cost and complexity are reduced.

A system and computer-implemented method for routing an encrypted packet through a cloud enforcement network based on a metadata tag. The cloud enforcement network applies policy and routing attributions or tags outside of the encrypted packet payload in such a way as to not require an inner packet to first be decrypted. Traffic prioritization, data protection, and per application policies are achieved by using such metadata tags for internode routing without the need for DPI or decryption. Furthermore, the metadata itself can also be signed or encrypted depending on the provenance of the data. As such, applying meta-tagging external to an encrypted packet, the payload would not be needed to be decrypted during transit of the packet to express end-to-end policy and routing decisions.

A system-on-chip design method and apparatus, a system-on-chip, and an electronic device, the system-on-chip comprising: a network-on-chip, the network-on-chip comprising a network routing component, the network routing component being arranged in a top module; and a plurality of subsystem modules, wherein on-chip interconnection is realized among the plurality of subsystem modules through the network routing component.

The invention discloses a minimum-time-delay routing path generation method applied to a multi-channel unmanned aerial vehicle cluster, and belongs to the field of unmanned aerial vehicle communication network routing path optimization generation. Wherein in the link attribute calculation process, external channel input information is received to calculate network link rate information; according to the route path generation process, information such as a link connection relation and media time in an unmanned aerial vehicle cluster network is generated based on OLSR basic ad hoc network protocol broadcast, a route path with the minimum media time is selected, information transmission delay is reduced, the network throughput is improved, and the network congestion degree is reduced. According to the method, the routing path with the minimum media time can be actively selected in a high-dynamic and multi-channel unmanned aerial vehicle cluster communication environment, the information transmission reliability of the network is improved, the network delay is reduced, the throughput of the whole network is improved, and rapid control and reliable guarantee of the unmanned aerial vehicle cluster network are guaranteed.