479 results about "Routing protocol" patented technology

The invention discloses a data center intelligent operation and maintenance method and system based on an industrial internet of things, belongs to the field of image processing calculation, and aims to solve the problems of privacy protection deficiency, serious manual dependence and weak energy efficiency and safety. Full-link dynamic optimization is realized through an edge calculation layer and an adaptive clustering network, edge nodes are integrated with a wavelet transform noise filtering technology, dynamic denoising is performed on multi-band sensor signals of temperature, vibration, current and the like, heterogeneous device time sequence data are aligned in combination with a dynamic time warping algorithm, sampling frequency differences of multiple devices are eliminated, and the multi-band sensor signals are obtained. A weight formula is put forward, a cluster head is dynamically elected based on node residual energy, data similarity and a load coefficient, a transmission path of a high-delay area is optimized in combination with a multi-hop routing protocol, the packet loss rate and the signal strength are evaluated in real time, redundant coding is started for a high-packet-loss link or the high-packet-loss link is switched to a low-power-consumption mode. And synchronizing the dynamic topology state with the digital twin platform through an open platform communication unified architecture protocol.

An artificial intelligence driven system of systems may include a layered architecture for providing transaction support to various types of enterprises. A governance layer implements automated governance and policy enforcement through specialized governance modules utilizing generative AI technology. An enterprise layer supports enterprise functions by integrating management and control platforms with digital infrastructure. An offering layer creates and manages system offerings via content generation, personalization, and smart product modules. A transactions layer enables automated transaction orchestration through API integration, execution, and fulfillment modules. An operations layer manages AI systems through generation, training, verification and orchestration modules. A network layer provides adaptive networking capabilities through routing, protocol selection and communication modules. A data layer processes fused data from multiple sources using machine learning and AI systems. A resource layer manages computing, storage, and other resources through specialized resource modules.

The invention relates to the technical field of wireless communication, discloses an air-sea cross-domain network reinforcement learning routing algorithm based on an SDN (Software Defined Network), and mainly aims to solve the problems of poor dynamic environment adaptability, insufficient multi-task QoS (Quality of Service) demand guarantee capability and the like caused by a static rule or local optimization of an existing air-sea cross-domain routing algorithm. Global network state perception and resource centralized scheduling are realized through an SDN controller, and a dynamic routing decision model driven by deep reinforcement learning (DRL) is constructed. A network state is sensed in real time through an SDN controller, a multi-target reward function is designed, and a cross-domain path selection strategy is dynamically optimized. According to the method, the limitation of a traditional routing protocol in a cross-domain heterogeneous network is broken through, the end-to-end transmission efficiency, the resource utilization rate and the multi-task differentiated service quality guarantee capability are remarkably improved, and the method can be widely applied to the scenes of marine environment monitoring, emergency rescue, cross-domain cooperative detection and the like.

The invention relates to an inter-switch multi-protocol conversion and dynamic routing optimization method and system. The method comprises the following steps: carrying out feature analysis processing on routing protocol messages collected by each switch in an interconnection structure, and extracting to obtain a protocol state parameter set comprising protocol type identifiers, path attribute fields and adjacent state information; performing structured semantic mapping on the path attribute field according to the protocol type identifier, and constructing to obtain a standardized path parameter model fusing multiple protocol structure features; and generating a dynamic routing control instruction set for guiding each switch to execute path switching according to a link connection relationship between the standardized path parameter model and the adjacent state information in combination with a path selection strategy associated with the protocol type identifier. By adopting the method, unified routing behavior management of the switch in a multi-protocol environment can be realized.

The invention discloses a satellite multi-hop task offload optimization method and system based on edge computing, and the method comprises the steps: obtaining a task offload optimization problem through employing an on-demand routing protocol under a constraint condition based on environment exploration information with the minimum energy consumption of a system model as a target when the access satellite computing resources of a ground user are insufficient; and constructing a task unloading optimization problem into a Markov decision process, and solving by combining a deep reinforcement learning algorithm to obtain a task unloading and routing optimization strategy. In the invention, under the condition of insufficient computing resources of an access satellite, an on-demand routing protocol is combined to support efficient multi-hop task transmission unloading, so that energy consumption is comprehensively considered and selection of an intermediate satellite node on a routing path from a source satellite node to a target satellite node is optimized on the basis of the minimum hop count of the task; and the processing nodes are dynamically reached through multiple hops, and meanwhile, the control overhead of the whole network topology in the task unloading process is reduced to the greatest extent.

A system and method for latent hyperspace navigation in spatiotemporal media using hierarchical and Lorentzian autoencoders. The system compresses spatiotemporal media into navigable latent representations while preserving geometric and semantic relationships through tensor structure maintenance. A latent hyperspace manager organizes compressed representations as geodesic trajectories within a geometric manifold structure based on differential geometry principles. A geodesic trajectory mapper computes optimal navigation paths through the high-dimensional space, while symbolic anchors positioned at semantically significant locations serve as persistent reference points. Spatiotemporal routing protocols manage navigation decisions across multiple temporal scales. A strategy caching system preserves successful navigation patterns for reuse, enabling continuous learning. The system generates synthetic content during navigation to support infinite zoom capability, allowing exploration beyond original media boundaries. Cross-modal fusion combines diverse input modalities into unified representations, applicable to immersive media exploration, scientific visualization, and surveillance analysis.

The invention relates to the technical field of electrical load management, and discloses an electrical load spatial-temporal distribution modeling and adaptive optimization regulation and control system. The system comprises a load monitoring module, an optimization decision-making module, an exception handling module, a communication coordination module and a data tracing module. The load monitoring module collects load data by using a space-time correlation analysis technology; the optimization decision-making module adopts a dynamic clustering algorithm to generate a regulation and control strategy; the exception handling module corrects load exception in a graded manner based on a multi-scale coordination mechanism; the communication coordination module realizes instruction interaction through a hierarchical routing protocol; and the data tracing module generates a topology storage index by using a multi-dimensional feature coding algorithm. The system can accurately collect load data, reasonably distribute power, effectively process load abnormity, guarantee communication stability, facilitate data tracing, improve the operation efficiency and reliability of an electric power system, and meet the requirement of a modern electric power system for electrical load management.

The invention relates to the technical field of network monitoring, in particular to a method for constructing a dynamic self-adaptive alarm monitoring network based on LoRa and Ad-hoc ad hoc network technology, which comprises the following steps: (1) integrating a dynamic Ad-hoc ad hoc network routing protocol on each LoRa node, so that each node can automatically discover neighbor nodes, establish and maintain a dynamic routing table, and automatically discover the neighbor nodes; a non-centralized network architecture is realized; (2) through a multi-hop communication mode, the alarm information can be flexibly transmitted among the nodes, the coverage range of the network is expanded, and the system adapts to a complex geographical environment; and (3) by utilizing the characteristics of low power consumption and long-distance transmission of the LoRa technology, stable communication between the nodes in a large range is ensured, meanwhile, the energy consumption is reduced, and the working life of the nodes is prolonged. Through the dynamic self-adaptive Ad-hoc routing protocol, the network can automatically adjust the routing according to the node state and the environment change, the dynamic change of the network topology is adapted, and the reliable transmission of the alarm information is ensured.

An example computing device includes a first containerized router and processing circuitry. The computing device includes a containerized virtual router configured to execute on the processing circuitry and configured to implement a data plane for the first containerized router. The computing device includes a containerized routing protocol process configured to execute on the processing circuitry and configured to implement a control plane for the first containerized router wherein the containerized routing protocol process is configured to execute a routing protocol. The first containerized router is configured to program a virtual private cloud (VPC) route table in a VPC gateway based on routing information received by the containerized routing protocol process via the routing protocol. The first containerized router is communicatively coupled to a second containerized router via a virtual router redundancy protocol (VRRP) session.

The invention provides an electric energy load real-time data acquisition and analysis method based on a low-cost scheme, and the method comprises the following steps: constructing a distributed data acquisition network, employing a combined hardware architecture of a current / voltage sensor and a low-power-consumption MCU, and achieving the data acquisition optimization through a dynamic sampling rate adjustment mechanism, when the load fluctuation exceeds a set threshold value, the sampling rate is automatically increased, when the load is stable, the sampling rate is reduced to a calibration sampling rate, and a Kalman filtering algorithm is adopted to carry out real-time data preprocessing; a three-level data transmission system is established, the three-level data transmission system comprises an edge acquisition node layer, a convergence gateway layer and a cloud processing layer, an optimized AODV routing protocol is adopted among nodes to construct a star-shaped and net-shaped hybrid network topology, and an optimal transmission path is dynamically selected according to the signal strength and the network congestion condition; a differentiated QoS transmission strategy is designed, and data is divided into three priorities of fault alarm data, real-time monitoring data and historical data.

In general, this disclosure describes techniques for leveraging a containerized routing protocol process to implement virtual private networks using routing protocols. In an example, a system comprises a container orchestration system for a cluster of computing devices, the cluster of computing devices including a computing device, wherein the container orchestration system is configured to: deploy a containerized application to a compute node; and in response to deploying the containerized application to the compute node, configure in the compute node a virtual routing and forwarding (VRF) instance to implement a virtual private network (VPN) for the containerized application.

The invention provides a hierarchical deep reinforcement learning routing protocol method based on a multi-link ad hoc network, relates to the technical field of communication routing, and solves the problem that the calculation efficiency in the current multi-link ad hoc network is degraded. The method comprises the following steps: firstly, constructing and dynamically updating a global network view for all nodes in a network, and further constructing a route selection model which is divided into a high-level controller and a low-level controller; a high-level controller plans a route from a global perspective and balances a global load, and a low-level controller selects a target node according to a planning result of the high-level controller and distributes an optimal communication link for the target node in combination with link state information; training and optimization of the network of each controller are carried out independently, external rewards are introduced to a high-level controller, and internal rewards are introduced to a low-level controller; the external reward is used for optimizing the overall performance of the high-level controller; the internal reward is used as an index value of the low-level controller for feeding back the link state in real time, and collaborative optimization of the high-level controller and the low-level controller is achieved.

The invention discloses a cluster head election method of an improved LEACH algorithm and an improved LEACH routing protocol method, belongs to the technical field of routing soft security of an underwater wireless sensor network, and particularly relates to a cluster head election process of the underwater wireless sensor network. The problems that an existing cluster-based routing protocol neglects the security problem and the security of a cluster head election process is relatively low are solved; the method comprises the following steps that: each node updates own mse according to a trust evaluation result of an aggregation node on the node; calculating a cluster head election threshold value by using an improved cluster head election threshold value function Timp (n) based on the number of times that each node serves as a cluster head node, a priori determined cluster head node proportion and mse; each node compares a random number generated by the node with the cluster head election threshold; and if the random number is smaller than the cluster head election threshold, the node becomes a cluster head node of the current large period. The cluster head election method for improving the LEACH algorithm and the method for improving the LEACH routing protocol are suitable for providing a cluster-based routing protocol.

The invention discloses an unmanned aerial vehicle three-dimensional flight path planning method for wireless sensor network data collection and energy supplementation, and belongs to the technical field of Internet of Things. A network is divided into a plurality of clusters through a density peak clustering algorithm, and a dynamic cluster head selection mechanism based on a routing protocol is designed to optimize the positions of cluster heads. The shortest flight path is determined by adopting a self-organizing mapping network introducing a penetration mechanism. Through a depth deterministic strategy gradient algorithm, the flight height of the unmanned aerial vehicle is dynamically adjusted, and meanwhile, the flight route of the unmanned aerial vehicle is planned, so that the unmanned aerial vehicle can efficiently collect data and supplement energy to sensor nodes in a charging range. According to the method, the distance of the unmanned aerial vehicle for charging the sensor and collecting data is obviously optimized, the energy utilization efficiency is improved, the energy supplement and data collection efficiency of the network is improved, and the network survival time is prolonged.

The invention discloses an ad hoc network communication system without a signal area, particularly relates to the technical field of wireless communication, and is used for solving the problem that a connectivity critical state caused by node density or mobility change in a low-density network is not fully considered in an existing dynamic routing protocol. The network connectivity critical state is pre-judged by acquiring node position coordinates and communication radiuses in real time and combining the average node spacing and the dispersion in the moving direction; screening a high-priority detection node based on an obstacle avoidance cooperative angle variance and a virtual pheromone concentration in a critical state, and adaptively adjusting a detection message sending frequency according to a node moving speed; constructing a path stability evaluation model by fusing the link survival duration, the node residual energy and the signal intensity fluctuation rate, dynamically screening a high-stability path as a main transmission link, and taking the rest lists as standby links; and monitoring the signal fluctuation characteristics of the main link in real time, and quickly switching to the path with the optimal comprehensive stability in the standby link in an abnormal state.

The invention relates to the technical field of data center remote operation, and discloses a data center remote operation method and system based on collection gateway analysis, and the method comprises the steps: obtaining gateway resource data and data flow priority attributes; quantifying according to the resource data to obtain a cache length; when the cache length is greater than a length threshold value, processing by adopting a dynamic load balancing algorithm to obtain a migration data stream; analyzing according to the data stream to obtain a timestamp and a serial number; measuring according to the timestamp and the serial number to obtain transmission delay and packet loss rate; performing evaluation according to the transmission time delay and the packet loss rate, and performing link dynamic switching to obtain a backup transmission path when an evaluation result is a main link fault; according to the backup transmission path, adopting a distributed routing protocol to calculate and obtain a data transmission path; monitoring according to the data transmission path to obtain monitoring data; predicting according to the monitoring data to obtain an adjustment result; and performing optimization according to an adjustment result, and dynamically switching the main link and the standby link to perform data transmission. The method can solve the problem of low overall data transmission efficiency.

The invention relates to a computing device, a method for a computer network, and a computer readable storage medium. An example computing device includes a containerized router and processing circuitry. In one embodiment, a computing device includes a containerized virtual router configured to execute on a processing circuit and configured to implement a data plane for the containerized router. In one embodiment, a computing device includes a containerized routing protocol process configured to execute on a processing circuit and configured to implement a control plane for a containerized router, where the containerized routing protocol process is configured to execute a routing protocol. The computing device includes a process configured to execute on a processing circuit and configured to program a virtual private cloud (VPC) routing table in a VPC gateway based on routing information received by a containerized routing protocol process via a routing protocol.

The invention relates to an inter-satellite routing method based on computing resources and link states. The inter-satellite routing method comprises the following steps: S1, a current node periodically broadcasts a HELLO message to a one-hop node of the current node; s2, the current node determines a neighbor node set according to the HELLO message; the HELLO message comprises the computing resource degree and the position information of the current node and the computing resource degree and the link stability of the neighbor node of the current node; s3, the current node performs MPR node selection based on an improved routing protocol of the computing resource degree and the link stability; s4, the current node periodically sends and forwards TC messages in the whole network range through the selected MPR node to obtain topological information, and a topological database is formed; the TC message comprises computing resource degree and link stability information of neighbor nodes of the current node; and S5, the current node calculates and maintains a routing table according to the MPR node set and the topology database and a Djisktra algorithm.

Systems and methods herein are for global bandwidth-aware adaptive routing in a network communication and include at least one switch to determine an event associated with a change in network bandwidth between a local host and a remote host, where the at least one switch is further to provide routing protocols for the network communication, and where the routing protocols is to be used to modify an adaptive routing in the at least one switch for selection from different routes for the network communication between the local host and the remote host.

The present application relates to network routing between networks where private routing tables are in use and remote networks. Overlapping IP address ranges may be in use in private networks, which may result IP clashes in the remote network. A system (400) for routing internet protocol, IP, traffic is provided. The system (400) comprises one or more consumer networks (410) each comprising a gateway (420) and one or more private networks (430). Each of the plurality of private networks serves one or more endpoints (440). The system (400) further comprises a remote network (450) comprising a router (460) for each of the plurality of private networks (430) in the consumer network (410). Each router (460) in the remote network has a unique identifier and is configured to establish a tunnel (470) between the router and the gateway (420) of the corresponding consumer network, so that each tunnel corresponds to a private network (430) of the one or more private networks (430) in the one or more consumer networks (410). The gateway (420) of each consumer network (410) is configured to receive upstream IP traffic, determine from which private network (430) the upstream IP traffic originates, and send the upstream IP traffic to the remote network (450) via the tunnel (470) corresponding to the private network (430) from which the upstream IP traffic originates.

The invention discloses an unmanned cluster hierarchical networking system and a multi-source tree routing protocol implementation method, the method adopts a hierarchical networking form to construct a tree topology, and comprises the steps of constructing the tree topology by taking at least one cluster head node as a root node, forming a transmission path of a far-end node, the cluster head node and a manned node, and establishing a multi-source tree routing; selecting an optimal father node as a relay node of an uplink path by adopting a shortest path first and link quality assisted routing measurement strategy; an uplink routing table is established through periodically broadcasting source tree information, and a downlink routing table is established through tree-shaped routing information feedback maintenance; and establishing and maintaining the multi-source tree topology by using an uplink routing table, a downlink routing table and a point-to-point routing table according to the requirements of uplink multi-source data convergence, downlink multicast transmission and end-to-end unicast transmission. According to the method, flexible networking, rapid reconstruction and dynamic resource allocation can be met, and the method has the advantages of low routing storage overhead and low calculation overhead.

The invention discloses a dynamic logistics network path optimization method based on a chained state routing algorithm, and belongs to the technical field of logistics network optimization, and the method comprises the steps: firstly, building a node state evaluation model through a distributed state collection mechanism based on a chained state routing protocol, and generating a dynamic elastic network topology structure; secondly, when logistics network nodes change, a logistics path is optimized in combination with a transportation cost prediction model, an emergency response punishment mechanism and a path adjustment weight coefficient; and finally, optimizing an affected path in a node abnormal state by using a local path updating mechanism. Compared with a traditional logistics model, the method has obvious advantages in the aspects of path calculation cost and response time when processing a path problem containing failure nodes, and can effectively optimize logistics path planning, reduce transportation cost and improve system robustness and resource allocation efficiency.

The invention discloses an underwater routing protocol design method based on link sensing, and belongs to the technical field of underwater wireless sensor communication networking. The invention aims to solve the problem that the link quality of the existing underwater routing protocol cannot ensure reliable transmission of data. Comprising the following steps: dividing underwater wireless sensors into clusters based on set roles in a node control data packet; each cluster comprises a master node and a corresponding slave node; each master node receives a sensing data packet of the corresponding slave node; each master node maintains attribute information of the adjacent master nodes based on the master node attribute data packets of the adjacent master nodes, and establishes a reward function for transmitting the to-be-transmitted data packets of the master nodes between the two master nodes based on the attribute information of the master nodes; and after a next-hop master node of the underwater route is determined according to the reward function value, transmitting the to-be-transmitted data packet of the current master node to the next-hop master node until data transmission from the to-be-transmitted data packets of all the master nodes to the water surface ship receiving terminal is completed. The underwater sensing data transmission device is used for transmitting underwater sensing data.

An example computing device includes a containerized router and processing circuitry. The computing device includes a containerized virtual router configured to execute on the processing circuitry and configured to implement a data plane for the containerized router. The computing device includes a containerized routing protocol process configured to execute on the processing circuitry and configured to implement a control plane for the containerized router, wherein the containerized routing protocol process is configured to execute a routing protocol. The computing device includes a process configured to execute on the processing circuitry and configured to program a VPC route table in a virtual private cloud (VPC) gateway based on routing information received by the containerized routing protocol process via the routing protocol.

The invention provides an Internet of Things cooperative routing method based on multi-agent deep reinforcement learning. The method comprises the following steps: constructing a wireless sensor network model; constructing an energy consumption model; establishing an optimization problem of network routing according to the constructed wireless sensor network model and the energy consumption model; modeling the optimization problem into a multi-agent reinforcement learning problem, and selecting an optimal routing path according to the multi-agent reinforcement learning problem; wherein in the multi-agent reinforcement learning problem, each sensor node is regarded as an independent agent, and each agent learns a strategy for optimizing the overall network performance according to a local state and a reward mechanism. According to the invention, the energy utilization efficiency of the routing protocol is improved, routing with balanced energy is realized, and the network life cycle is effectively prolonged.

The invention provides a satellite constellation network topology state rapid sensing method. A multi-dimensional physical layer monitoring module, a dynamic adaptive BFD detection mechanism, an OSPF routing protocol and a shared data exchange area of a BFD driver and an OSPF process are deployed on each satellite node. According to the method, the connectivity of inter-satellite links is monitored in real time by using a physical layer signal state monitoring technology and the rapid link state detection capability of a BFD protocol, and related nodes are immediately notified through a control message when a fault is detected; meanwhile, the detection result of the BFD is linked with an OSPF routing protocol, and instant routing recalculation is triggered, so that the routing convergence time is shortened. A cross-layer closed-loop linkage system is constructed, a physical layer senses data to dynamically regulate and control protocol layer detection parameters, and hardware acceleration is combined to realize fault detection full-process optimization, so that the fault detection and recovery speed is accelerated, the resource utilization efficiency and the overall transmission efficiency of an inter-satellite network are improved, and the fault detection and recovery efficiency is improved. And high reliability and stability of the network are ensured.

The invention discloses a tracking data processing method, a medium, a main routing node and a sub routing node, relates to the technical field of communication, and discloses the tracking data processing method which is applied to the main routing node and comprises the following steps: configuring a target base address of a storage space for storing tracking data under the condition that the tracking data provided by the sub routing node is received; converting the tracking data into a routing protocol format to obtain routing tracking data; and routing the routing tracking data to a storage space indicated by the target base address. The processing efficiency of the tracking data is effectively improved.

The present application describes a system and method for utilizing a tunnel in a networking routing protocol to provide a network segment access to additional servers when certain load balancing trigger events are detected.

The invention relates to the technical field of network communication, in particular to a route issuing method and device and related equipment. The method is applied to network equipment, and comprises the following steps: generating original next hop information based on a standard routing protocol; on the basis of a predefined rule, the generated original next-hop information is divided into at least one equivalent next-hop group, and one equivalent next-hop group comprises at least two next-hop interfaces; and for each equivalent next hop group, generating a corresponding routing table item, and issuing the generated routing table item to a hardware forwarding table.

The invention discloses a multi-link switching method based on a heterogeneous network, relates to the technical field of multi-link switching, and is used for solving the problems of low link state detection and switching efficiency and link state misjudgment caused by a single address in the prior art. According to the method, the number of heterogeneous networks is determined, link dynamic binding and priority configuration are carried out on each heterogeneous network, the link weight and the link switching threshold value of each heterogeneous network are self-defined to serve as switching judgment logic, a dynamic routing protocol is constructed, and an optimal routing table of a link corresponding to each heterogeneous network is generated in real time; and executing routing control through the optimal routing table, performing multi-thread independent detection, binocular address detection and IP state monitoring on the link of each heterogeneous network, obtaining the link state of each link based on detection and monitoring results, and switching the link according to the link state of the link to which the heterogeneous network belongs and switching judgment logic. And a corresponding switching strategy is formulated for synchronous execution, so that efficient and accurate multi-link switching is realized.