81 results about "Network congestion" patented technology

The present application relates to the technical field of data transmission, and specifically provides a data transmission method and system for solid waste sorting equipment, a terminal and a storage medium, comprising: adding basic classification marks and dynamic priority marks to data packets according to the function types of sorting data, and dividing the data into synchronous control flow, real-time event flow, process awareness flow and background management flow; a data source end acquires link state information before sending, and adaptively adjusts the dynamic priority of the real-time event flow; a network switch performs mixed scheduling transmission on the data packets based on time-aware shaping, credit shaping and preemption mechanism, wherein the preemption of low-priority queues is only allowed when the data packets of the highest-priority sub-queue carry the highest dynamic priority mark. Through the cooperative mechanism of basic classification and dynamic priority, the present application realizes fine classification transmission of heterogeneous data flow, solves the problem that key instructions are easily affected by network congestion, and effectively reduces transmission delay and jitter.

Techniques for controlling a positioning service are provided. For example, an apparatus in a user equipment (UE) is provided. The apparatus comprises: at least one processor; and at least one memory including computer program code. The computer program code causes the apparatus, when executed with the at least one processor, to at least: receive a first message related to a degradation of a first positioning technique related to the positioning service and control the positioning service based on the first message.

The application relates to the technical field of robots, and discloses a robot data transmission method, a robot and a medium, which comprise the following steps: configuring multiple virtual local area networks, performing robot data transmission network isolation based on the virtual local area networks; obtaining load data of the virtual local area networks, adjusting data transmission priorities of the virtual local area networks based on comparison results of the load data and preset load thresholds, adjusting bandwidths of the virtual local area networks based on the adjusted data transmission priorities and the load data; and performing data transmission based on the adjusted data transmission priorities and the adjusted bandwidths. The application judges network congestion states based on load sensing of each virtual local area network in the robot, improves transmission priorities of virtual local area networks in the congestion states, makes the virtual local area networks in the congestion states transmit preferentially, can effectively avoid delay and packet loss caused by network congestion, and guarantees real-time performance of robot control responses and reliability of action execution.

A data transmission method and a communication apparatus. The method includes: receiving first information, where the first information indicates to delay delivering a first data packet to a first protocol layer, the first information is information at a second protocol layer, and the first protocol layer is an upper protocol layer of the second protocol layer; and delaying, based on the first information, delivering the first data packet to the first protocol layer for first duration. Therefore, data transmission efficiency can be improved, and network congestion can be relieved.

The application relates to a data interaction method and device of a simulation subsystem, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining current to-be-interacted data generated by the simulation subsystem at a current time; determining a to-be-executed decision according to a preset condition; encapsulating the current to-be-interacted data based on the to-be-executed decision and a predefined unified data format, determining a first data packet; and sending the first data packet to a central forwarding server. The method can reduce network congestion.

This invention relates to the field of engineering resource scheduling technology, specifically a network-based hydropower construction resource collaborative management system, including a coverage area division module, a resource capacity calculation module, a dependency graph construction module, a call order filtering module, and a collaborative scheduling generation module. This invention constructs a signal spatial sequence and analyzes fluctuation deviations to define stable communication intervals, calculates transmission capacity based on the lowest signal strength and verifies the equipment's carrying capacity limit, and combines real-time active node statistics with the planned scheduling quantity to perform capacity access judgment, avoiding network congestion caused by over-limit operations. It integrates connectivity testing and queuing delay data to construct dynamic dependency relationships, and triggers scheduling after confirming both the link and the preceding task are ready, ensuring that equipment enters the site in an orderly manner while meeting communication quality and process constraints. This solves the network collapse problem caused by multiple machines operating concurrently in confined spaces and guarantees the real-time transmission and accurate execution of collaborative operation instructions.

The embodiment of the application discloses a protocol data unit (PDU) processing method and device. The method comprises the following steps: receiving quality of service (QoS) information sent by a second network device, the QoS information being associated with a PDU set; and processing the PDU set associated with the QoS information and / or a PDU in the PDU set according to the QoS information. The first network device can support QoS processing of a protocol data unit set in a radio access network, can regulate network traffic, avoid and manage network congestion, reduce the packet loss rate, and effectively improve the reliability of system communication.

Embodiments herein describe tracking the number of congested paths in a multipath connection between endpoints to determine when to throttle the data being transmitted by a sender. In one embodiment, the embodiments herein permit a sender to determine whether congestion is caused by the receiver (or the network as a whole) being congested or only a few paths in the network being congested. The receiver may provide congestion signals that indicate congested paths as feedback to the sender. The sender can track the number of congested paths. For example, the sender can determine a ratio between the number of congested paths and the total paths in the multipath connection. Once this ratio reaches a threshold, the sender may begin data throttling. However, until then, the sender may redirect data that would have been sent on the congested paths to paths that are not yet congested.

This application relates to the field of artificial intelligence technology, and in particular to a data collection method, apparatus, computer device, and storage medium. The method includes: a terminal acquiring first configuration information; then, when the terminal meets a first triggering condition, sending a request to the network to acquire second configuration information sent by the network, thereby enabling measurement based on the second configuration information and recording measurement data; and then sending a report to a core network connected to the terminal, so that the core network sends the report to a server used to collect terminal model training data. This application standardizes the process of measurement data collection and data reporting, preventing over-collection of data, thus ensuring that the measurement data generated during the measurement process is valid data that meets the model training requirements, avoiding the generation of a large amount of invalid data, and thus avoiding resource waste or network congestion during the processing and transmission of invalid data.

The embodiment of the present application provides a congestion control method and device for real-time communication. The technical scheme provided by the embodiment of the present application enters a code rate restriction state according to a set code rate restriction period when network congestion is detected, determines a current restriction code rate according to a historical restriction code rate and a maximum receiving code rate of a data receiving end when network congestion occurs, and performs network congestion control based on the current restriction code rate in the code rate restriction state, wherein the detection code rate enters a detection state after the duration of network congestion reaches a set detection waiting time or after each code rate restriction period, and the detection code rate is obtained by upward detection of the code rate in the detection state. The network congestion control is performed based on the current restriction code rate in the code rate restriction period. While ensuring that the code rate is close to the code rate restriction under the current network environment, the number of upward detection of the code rate is effectively reduced, the code rate fluctuation caused by frequent upward detection of the code rate is reduced, and the quality of experience of real-time communication of a user is improved.

The application discloses an image transmission and processing method and system for an electric power material laboratory, realizes quick perception and accurate decision of flow transition trend through task code stream change, emergency degree, frame rate, buffer capacity, definition ratio, bandwidth occupancy and end-to-end delay, sets a reference control window according to transition type task driving, network congestion, buffer overload and mixed type, and carries out correction in combination with definition ratio change rate and effective buffer capacity to form an adaptive control window.Combining definition and bandwidth fluctuation characteristics, a target transmission path is generated, and the encoding code rate, frame rate climbing slope and compression quality are smoothly adjusted.Meanwhile, a feedback correction mechanism is established.In a multi-station concurrent scene, bandwidth competition is identified, and priority sorting and collaborative allocation are implemented to ensure smooth transmission of high-priority stations and improve overall stability and real-time performance of the system.

The application discloses a method for mapping climbing demand nodes based on multi-source contribution degree distribution, and relates to the technical field of power system operation and control. The method comprises the following steps: obtaining initial weights of source and load nodes and system-level climbing demand; constructing a multi-dimensional joint distribution model reflecting the correlation of fluctuations of heterogeneous resources by using a Vine Copula function, and calculating dynamic contribution degree coefficients; performing spatial mapping calculation according to the dynamic contribution degree coefficients to obtain an expected power change component; constructing a cooperative game model, quantifying marginal contributions to network congestion elimination by using Shapley values, and distributing capacity relaxation; and finally generating a mapping scheme meeting node physical constraints. The application is used to solve the problems of mapping precision distortion under a multi-source random fluctuation environment and the difficulty of existing schemes in considering network congestion constraints.

This application relates to a method and apparatus for processing frame synchronization data. The method includes: predicting a downlink network congestion trend based on a congestion condition of received downlink data frames; adjusting a report time interval of uplink data frames based on the downlink network congestion trend, the downlink network congestion trend being in direct proportion to the report time interval; transmitting the uplink data frames to a server based on the report time interval.

The application relates to a mine communication optimization method and system, a storage medium and an electronic device, and relates to the technical field of communication. The method comprises the following steps: acquiring at least one historical control instruction caused by receiving problems in a historical tunneling operation and a historical tunneling operation process involved in the historical control instruction; determining actual business priorities of each actual control instruction according to actual processes, the historical control instruction and the historical tunneling operation process; determining initial resource scheduling strategies of the corresponding actual control instruction according to the actual business priorities; determining a risk coefficient of network congestion occurring after the current time according to a plurality of congestion periods in which network congestion occurs in the past, and adjusting and optimizing each initial resource scheduling strategy according to the risk coefficient to obtain a plurality of final resource scheduling strategies; and performing transmission processing on the corresponding actual control instruction according to each final resource scheduling strategy. The application enables the ground to timely and accurately reach the key control instruction of the underground.

A mobile edge task offloading method based on a sandcat-based collaborative computing strategy is proposed. This method proposes a two-step offloading computing strategy combining user collaboration and UAV assistance: First, considering the user communication coverage, an improved K-Means clustering strategy is used to cluster maritime users, achieving collaborative offloading and task integration among users. Second, a mobile edge computing architecture assisted by a single UAV is constructed. An optimization model is established with task processing latency as a constraint, aiming to minimize the weighted total energy consumption of the UAV and users. Based on this, a joint trajectory optimization and task offloading algorithm are used to solve the model. This invention can effectively alleviate maritime communication network congestion, significantly reduce system weighted energy consumption while meeting latency requirements, and achieve full utilization of communication and computing resources.

The present application relates to the technical field of network transmission congestion, and particularly relates to a network data packet capturing and analyzing method and system for mobile terminals. The method divides discrete transmission batches based on historical interval characteristics, determines an observation reference rate by time window sampling combined with quantile statistics, and constructs an ideal reference transmission curve. The method determines a time domain lag barycenter parameter by analyzing the cumulative lag distribution in the time dimension, eliminates false congestion interference, and extracts a load congestion index. The method dynamically updates the reference delay baseline through the load congestion index to judge the congestion state and implement a hierarchical early warning mechanism. The present application is based on time domain barycenter analysis of lag distribution characteristics, distinguishes between head lags caused by protocol establishment overhead and real congestion lags caused by bandwidth limitations, significantly reduces false congestion false positive rates, realizes adaptive and accurate monitoring of network congestion states, and improves the accuracy of user experience evaluation.

A communication scheduling method and related equipment, relating to the field of communication technology, involves a first computing node requiring cross-data center communication. The method obtains the bandwidth convergence ratio between the first and second data centers where the node resides. Based on this bandwidth convergence ratio, it determines the maximum number of parallel communication links allowed between the two data centers. The first computing node then schedules communication tasks in the distributed computing task based on this number of parallel communication links. In other words, the first computing node can adjust the number of parallel communication links between the two data centers based on the bandwidth convergence, thus avoiding the problem of low bandwidth transmission efficiency due to network congestion while ensuring maximum bandwidth utilization when bandwidth converges.

This invention relates to the field of sampling frequency control technology, and discloses a sampling frequency adjustment method and system for campus security systems. The method includes acquiring data traffic collected by monitoring devices based on the current sampling frequency, filtering target device sets when network congestion occurs, determining the overlap of monitoring views between target devices and dividing them into device clusters, and reducing the sampling frequency according to the different frequency reduction impact factors of each device within its cluster. This invention identifies information redundancy relationships between devices based on the overlap of monitoring views, significantly reducing the frequency of redundant devices to release bandwidth, and slightly reducing the frequency of unique devices to preserve monitoring information, thus alleviating network congestion at its source and preserving effective monitoring information to the greatest extent possible while releasing bandwidth.

The application discloses a video data transmission method and system, and the video data transmission method comprises the following steps: a data prediction step, in which state data of a next moment of a playing terminal is determined according to state data of a current moment of the playing terminal; a network capability prediction step, in which predicted network capability of the playing terminal at a future moment is determined according to the state data of the next moment and a pre-constructed network quality map; and a transmission parameter adjustment step, in which video data transmission parameters of the playing terminal at the next moment are pre-adjusted based on the predicted network capability, so as to avoid network congestion possibly occurring at the future moment in advance.

The application relates to the technical field of network resource scheduling, in particular to a smart city network resource scheduling method based on digital twinning, which comprises the following steps: S1, constructing a city digital twinning model; S2, data acquisition and real-time updating; S3, adaptive learning and prediction analysis; S4, modeling of a multi-objective optimization problem; S5, distributed optimization solution; S6, edge cooperation and local scheduling; S7, dynamic strategy execution and feedback; and S8, evaluation and continuous optimization. Through the introduction of online learning and reinforcement learning mechanisms, the system can dynamically adjust the update frequency and granularity of the digital twinning model, avoid response delays caused by fixed update cycles or thresholds, combine real-time streaming anomaly detection and event-driven strategies, actively predict the diffusion trend of abnormal events such as network congestion or device failure, and trigger the dynamic adjustment of resource scheduling strategies in advance.

The application discloses a full-network telemetry method based on telemetry metadata reorganization, and relates to the technical field of network communication.The full-network telemetry collects telemetry metadata of all network nodes in a specific range, and an INT collector constructs a data set by using INT telemetry reports of multiple continuous data packets; a telemetry metadata reorganization TMR algorithm is designed; telemetry metadata in the INT telemetry report is reorganized based on collected time and place, and TMR telemetry reports covering all network nodes are formed; a series of TMR telemetry reports obtained through the TMR algorithm processing are stored in a result set, and an accurate full-network view is formed.The application can more accurately reflect performance indexes of all nodes in the network, the performance is not affected by the length of a forwarding path, and is beneficial to network congestion identification and fault detection and the like.

This application relates to Ethernet terminals or Ethernet forwarding devices that handle unknown unicast flooding, belonging to the field of Ethernet data forwarding control. Upon receiving an unknown unicast, the control component of the Ethernet terminal or Ethernet forwarding device sends a probe message targeting the unknown unicast destination address using the interaction rules of the general Ethernet protocol. This induces a response from the terminal with the unknown unicast destination MAC address. The response message then prompts the Ethernet forwarding device through which it passes to generate a correct MAC forwarding table entry for the unknown unicast destination MAC address. This prevents the Ethernet forwarding device from flooding the unknown unicast when the destination MAC address is being unicasted, thus preventing network congestion and congestion processing by connected Ethernet terminals and Ethernet forwarding devices.

The application discloses a kind of transmission control methods of space-ground integrated network based on multidimensional congestion signal, belong to network communication technical field.In the data transmission process, sampling and statistical estimation bandwidth signal and adjacent acknowledgement message interval and adjacent acknowledgement message confirmation sequence number difference are used as multidimensional congestion signal;According to the comprehensive judgment result of multidimensional congestion signal, the current network congestion state is divided into congestion state, topology change disturbance state and non-congestion state;According to the congestion state distinguished, the data sending rate is dynamically adjusted, and the maximum estimated bandwidth parameter is prohibited to update when judging as topology change disturbance state.The application can accurately judge the real congestion state in space-ground integrated network, avoid the sending rate misjudgment caused by the round trip time change due to topology dynamic, effectively prevent network congestion, and improve the efficiency and stability of data transmission.

The invention discloses an event-driven urban rail transit network congestion propagation simulation method, and relates to the technical field of urban rail transit operation analysis and traffic system simulation calculation. According to the method, a multi-layer network model which is split according to lines and directions is constructed based on a line space structure and an operation timetable, train arrival is used as a discrete event, an event list is established, and simulation is propelled according to an event time sequence. Accumulatively generating time-related passenger arrival quantity between two adjacent train arrival events to form a node queue; and sequentially executing passenger getting-off, passenger getting-on according to first-arrival first-service and remaining transport capacity constraint, and vehicle-mounted capacity updating at each arrival event, calculating station dwell time based on the getting-on and getting-off amount and the node crowdedness degree, and calculating and generating a subsequent arrival event. The method outputs the node queuing length and the network congestion index, and can be used for evaluating the congestion propagation and recovery process under different demand fluctuations and operation strategies.

Methods and systems are for managing congestion in a network of devices are disclosed. A method may comprise identifying one or more battery-operated devices. A signal-to-noise ratio (SNR) and a signal-to-interference ratio (SIR) for each battery-operated device may be determined. Based on the SNR and SIR of each battery-operated device, a battery loss using clear channel assessment (CCA) and a battery savings using CCA may be determined. A total battery savings may be compared to a total battery loss to determine that the total battery savings is greater than the total battery loss. Based on the determination that the total battery savings is greater than the total battery loss, a noise may be generated to block transmission from the one or more battery-operated devices.

The disclosure relates to a 5G communication system or a 6G communication system for providing higher data transmission rates than a previous 4G communication system, such as LTE. A method performed by a user plane function (UPF) entity in a wireless communication system according to the disclosure can include the steps of receiving N4 session information from a session management function (SMF) entity, the N4 session information including an explicit congestion notification (ECN) activation indicator and an ECN tuning parameter; identifying a QoS flow for which an ECN-related function activation is to be applied based on the ECN activation indicator; and performing data communication based on the ECN activation indicator and the ECN tuning parameter. Various other embodiments identified by the specification are possible.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate beyond a 4G communication system such as LTE. A method performed by a terminal according to an embodiment of the present disclosure may comprise the steps of: identifying first congestion information measured by a communication processor (CP); measuring a change amount of application processor (AP) information; acquiring, on the basis of the first congestion information and the change amount of the AP information, second congestion information on which compensation for the first congestion information has been performed; calculating an explicit congestion notification (ECN) marking probability by using the second congestion information; and configuring, according to the ECN marking probability, an ECN bit in a packet to be transmitted.

This application relates to the field of artificial intelligence technology, specifically a data collection method, apparatus, computer equipment, and storage medium. The method includes: a terminal acquiring first configuration information sent by a network; then, under a first triggering condition, the terminal sending a request to the network to acquire second configuration information sent by the network, enabling measurement based on the second configuration information and recording measurement data; subsequently, after receiving third configuration information sent by the network, the terminal sending a report to a core network connected to the terminal, so that the core network sends the report to a server used to collect terminal model training data; wherein the report carries measurement data. This application ensures that the measurement data generated during the measurement process is valid data that meets the model training requirements, avoiding the generation of a large amount of invalid data, thereby avoiding resource waste or network congestion during the processing and transmission of invalid data.