24 results about "Data transfer scheduling" patented technology

The embodiment of the invention discloses a data transfer processing method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a target data buffering demand in a planning period, obtaining initial transmission limit data associated with a plurality of data source nodes, a transaction data transfer rule and data transfer flow information, based on the target data buffer demand, the data transfer pipeline information, the initial transmission limit data and a transaction data transfer rule, executing data transfer task analysis on the transaction transfer request by adopting a target multi-mode large model to obtain a plurality of candidate data transfer execution packets meeting the target data buffer demand, and performing target scheme generation processing on the candidate data transfer execution packet according to a preset data transfer scheme constraint target to generate a target data transfer scheduling scheme for distributing each candidate data packet to different time points in a planning period, so that the intelligent degree of data transfer processing can be improved.

The invention discloses an edge data transmission scheduling method and system, electronic equipment and a storage medium, and the core of the method is that an intelligent scheduler (an algorithm based on value density evaluation) is deployed in an edge computing node, and the scheduler is used as a data outlet controller and carries out unified evaluation, sorting and scheduling on data before the data is sent to a cloud end; the intelligent scheduler can process edge-side to-be-transmitted data in various forms such as original data, feature data and event reports. The working process of the intelligent scheduler comprises the following three core steps: performing multi-dimensional value evaluation on the edge-side to-be-transmitted data; sensing the network state in real time and estimating the transmission cost; and finally calculating the value density by integrating the value and the cost, and establishing a dynamic priority queue arranged in a descending order according to the value density. And the scheduler controls a network interface of the edge node according to the queue to realize data transmission to the cloud, so that bandwidth resources are intelligently, dynamically and preferentially allocated to the data transmission task with the highest value density.

The present application relates to the technical field of aquaculture, in particular to a multi-source aquaculture data low-latency anti-interference communication method and system for unmanned feeding ship, comprising the following steps: multi-source aquaculture data acquisition; edge data fusion and instruction layered coding encapsulation, real-time fusion processing through a lightweight neural network at the unmanned feeding ship end to generate decision instructions corresponding to the aquaculture event; multi-node anti-interference networking; data transmission scheduling; data reception and state feedback. By deploying a MobileNet-SSD lightweight neural network at the unmanned feeding ship end, the present application realizes edge real-time cross-modal fusion of aquaculture water environment data and feeding state data, combines layered coding design driven by aquaculture events and channel quality change rate adaptive transmission strategy, avoids data redundancy, guarantees complete transmission of key instruction information when channel quality deteriorates, and effectively solves the problem of insufficient data fusion and transmission protocol adaptability.

The application discloses a bit data transmission scheduling method based on 6G space-ground integrated quantum network, a storage medium and equipment, and comprises the following steps: constructing a 6G space-ground integrated quantum communication network; searching for nodes meeting network scheduling task requirements in the quantum communication network, constructing a candidate node set, and screening out a determined best emission node; sending a quantum state to a receiving end through a quantum key distribution protocol at the best emission node, calculating a quantum bit error rate, selecting a candidate relay node from the candidate node set with the minimum quantum bit error rate as the target, and forming a quantum transmission channel; and the quantum transmission channel prepares a quantum key by using an entangled state, generates a random matrix density, generates a ciphertext through the random matrix density, and transmits the ciphertext to the receiving end. The application can reasonably schedule network resources, ensure data security through quantum communication, and the like.

This invention discloses a method for collaborative Earth observation and data transmission scheduling across heterogeneous space platforms. The method employs integer encoding to represent the execution sequence of observation tasks from multiple space platforms, proposes a three-stage decoding strategy to repair infeasible chromosomes, and designs feasible observation time window selection strategies, as well as observation task insertion strategies based on time-based benefits, task urgency, and attitude transition time, to construct an initial chromosome population. Crossover operations are performed on the current population, constructing three neighborhood search operators: inter-platform exchange, intra-platform exchange, and insertion based on relaxation time, to perform local searches on the chromosomes within the current population. The algorithm terminates if the maximum number of iterations or the maximum computation time limit is reached, generating a scheme for collaborative Earth observation and data transmission scheduling across heterogeneous space platforms, providing technical support for space-based Earth observation.

Embodiments of the present application provide a data transmission scheduling method and apparatus, a communication device, and a storage medium. The method can include transmitting a first scheduling instruction to a User Equipment (UE) in a N-th time domain unit, where the first scheduling instruction schedules the UE to transmit uplink data in a (N+K)-th time domain unit, and the N and the K are both natural numbers, and transmitting, between the N-th time domain unit and the (N+K)-th time domain unit, at least one second scheduling instruction to the UE, where the second scheduling instruction schedules the UE to transmit uplink data.

The present application relates to a kind of multi-unmanned aerial vehicle assisted wireless sensor network data acquisition method, belong to wireless sensor network technical field, comprising the following steps: S1: the maximum data acquisition time of UAV is obtained by dichotomy search method, and within the given time T, using time equal interval discrete technology is dispersed into a finite number of points with unmanned track;S2: according to initialization multi-UAV trajectory algorithm, solve UAV initial trajectory;S3: by the relaxation of binary variable, the original mixed integer non-convex problem is converted into continuous non-convex problem, and based on alternate optimization algorithm, the original problem is decomposed into two subproblems, by alternating iteration until convergence to obtain results, wherein, continuous convex approximation algorithm is used to solve subproblem, obtain UAV trajectory, uplink energy transmission scheduling and downlink data transmission scheduling;Until dichotomy search method result converges, the maximum time of UAV data acquisition is obtained.

The invention relates to the technical field of aquaculture, in particular to an unmanned feeding ship multi-source aquaculture data low-delay anti-interference communication method and system. Comprising the following steps: collecting multi-source breeding data; edge end data fusion and instruction hierarchical coding packaging are carried out, real-time fusion processing is carried out at an unmanned feeding ship end through a lightweight neural network, and a decision instruction corresponding to a breeding event is generated; carrying out multi-node anti-interference networking; scheduling data transmission; and data receiving and state feedback. According to the method, the MobileNet-SSD lightweight neural network is deployed at the unmanned feeding ship end, edge end real-time cross-modal fusion of aquaculture water area environment data and ingestion state data is realized, and in combination with an aquaculture event-driven hierarchical coding design and a channel quality change rate adaptive transmission strategy, data redundancy is avoided, and the efficiency of the unmanned feeding ship is improved. And complete transmission of key instruction information when the channel quality is deteriorated is ensured, and the problem of insufficient adaptability of data fusion and a transmission protocol is effectively solved.

This invention discloses apparatus, methods, and systems for configuring multiple resource allocation modes. One method (400) includes receiving (402) information indicating multiple resource allocation mode configurations. Each resource allocation mode configuration corresponds to a logical channel among multiple logical channels. The method (400) includes determining (404) multiple data transmission scheduling modes for the multiple logical channels. Based on the resource allocation mode configurations for the logical channels among the multiple logical channels, each data transmission scheduling mode corresponds to that logical channel, and each data transmission scheduling mode includes: a first scheduling mode; a second scheduling mode different from the first scheduling mode; or a third scheduling mode including the first scheduling mode and the second scheduling mode. The method (400) includes transmitting (406) a buffer status report based on the multiple data transmission scheduling modes.

Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may transmit capability information that indicates a quantity of slots the UE is capable of being scheduled for downlink data transmissions within a time window while the UE is operating in a reduced processing operational state. The reduced processing operational state being associated with a first downlink data processing timeline that is different from a second downlink data processing timeline for a second processing operational state. The UE may receive one or more control messages to schedule one or more data transmissions in up to the quantity of slots within a first time window in accordance with the capability information. The UE may receive the one or more data transmissions within the first time window in accordance with the one or more control messages.

The presentation invention relates to methods and apparatus for coordinating the transmission of data in a communications network. An exemplary method in accordance with an embodiment of the present invention includes the steps of: transmitting data from a cable modem termination system to a wireless base station receiving, at a cable modem termination system (CMTS), wireless base station multiple input multiple output (MIMO) information; and determining, at the CMTS, a data transmission schedule for transmitting data to a plurality of cable modems connected to the CMTS based on the received wireless base station MIMO information.

The invention discloses a power embedded RTOS-oriented lwIP protocol stack implementation method and system, and the method comprises the steps: calculating a protocol stack initialization resource allocation threshold according to hardware resource parameters of a power embedded RTOS; calculating a data packet priority weight value according to a real-time requirement and a protocol stack initialization resource allocation threshold value; according to the priority weight value of the data packet, calculating a module cutting proportion, and carrying out lightweight cutting on the core module of the lwIP protocol stack; a data transmission scheduling priority value is calculated according to a protocol stack initialization resource allocation threshold value, a module cutting proportion and a data packet priority weight value, and scheduling optimization is performed on power data transmission; and according to the data transmission scheduling priority value and the module cutting proportion, calculating a parameter adjustment value, and then dynamically adjusting the protocol stack operation parameters. According to the invention, the lwIP protocol stack can be always kept in an efficient and stable transmission state under different operation conditions of a power system, and the method can be widely applied to the technical field of power.

The application discloses a data transmission scheduling method and system based on random competition time slots, and relates to the technical field of communication. The method comprises the following steps: setting random competition time slots, the time slot position is not fixed, and the time slot position is combined with period distribution and dynamic distribution; distinguishing priorities in the random competition time slots; before a terminal formally sends uplink data to a base station or a relay, the terminal requests the base station or the relay to negotiate and schedule available uplink time slot resources in a random access time slot, and further judges uplink actions according to the result of feedback of the base station negotiation and scheduling; the base station sends downlink data to the relay or the terminal, the base station dynamically adjusts the number of downlink time slots according to the downlink data volume, and notifies paging information to the relay or the terminal device through broadcasting to receive downlink data; and the base station supports multiple uplink time slot resource scheduling allocation modes, including continuously allocating time slots to devices or allocating time slots at intervals of subframes. The application can solve the transmission problem of large and small data volumes under limited channel bandwidth.

The invention discloses a heterogeneous space platform collaborative earth observation and data transmission scheduling method, which adopts integer coding to represent an execution sequence of a multi-space platform observation task, proposes a three-stage decoding strategy, repairs infeasible chromosomes, and improves the data transmission efficiency. A feasible observation time window selection strategy and an observation task insertion strategy based on time income, task urgency and attitude conversion time are designed, and an initial population of chromosomes is constructed. Performing crossover operation on the current population, constructing three neighborhood search operators including space platform interchange, space platform interchange and relaxation time-based insertion, and performing local search on chromosomes in the current population. And if the maximum number of iterations or the maximum calculation time limit is reached, the algorithm is terminated, a scheme of heterogeneous space platform collaborative earth observation and data transmission scheduling is generated, and technical support is provided for space earth observation.

The invention belongs to the technical field of data transmission, and discloses a vibration test data transmission scheduling optimization method based on an ant colony algorithm. The invention aims to solve the problems of low data transmission speed, data loss, poor transmission stability and the like in the prior art. The method comprises the following steps: firstly, constructing a data transmission path set by acquiring topological structure information of a vibration test data transmission network; determining a data transmission task set according to the transmission requirement of the vibration test data; establishing a data transmission scheduling model based on the two, including resource allocation, priority and time limit constraint; carrying out optimization solution on the model by utilizing an ant colony algorithm to obtain an optimal data transmission scheduling scheme which comprises an optimal transmission path and an optimal transmission sequence; and finally, executing data transmission according to the scheme, and dynamically updating a path resource state. According to the invention, the data transmission efficiency, reliability and stability are improved, the data loss risk is reduced, and the network resource utilization rate is optimized.

The application provides a data transmission scheduling method and an electronic device. The method is executed by a first electronic device and includes: obtaining a current transmission scheduling policy, performing data transmission according to the current transmission scheduling policy, and the current transmission scheduling policy including a proportion of different services executed by each electronic device and distributed on different data transmission links, each electronic device including an electronic device located in a same cell and executing the data transmission scheduling method, and each electronic device including the first electronic device; performing a first operation: in a case where the current transmission scheduling policy does not satisfy a preset constraint condition, determining a first service that does not satisfy the constraint condition, the first service being one of different services executed by each electronic device; adjusting a transmission scheduling policy corresponding to the first service to obtain an adjusted transmission scheduling policy; and performing data transmission according to the adjusted transmission scheduling policy and cyclically executing the first operation. Thus, efficient and reliable data transmission is achieved.

The application relates to the technical field of augmented reality, and particularly relates to a remote surgery guidance system fusing AI augmented reality and real-time data flow, which comprises the following units: a local data synchronization unit acquires surgical field video frames, instrument posture data and vital sign data, and establishes a multi-source data synchronization relationship; a surgical field recognition and registration unit recognizes candidate target regions and region positions; a remote expert interaction unit generates and returns labeling data; the surgical field recognition and registration unit binds the labeling data with the candidate target regions, frame numbers, region positions and instrument posture data to generate augmented reality labeling objects; a display feedback unit determines a display state and returns execution feedback data; and a transmission scheduling unit adjusts transmission priorities. In the application, through the cooperation of the synchronization relationship, the recognition and registration, the display feedback and the transmission scheduling, the remote labeling corresponds to the local surgical field state, and the influence of transmission delay and visual field change on superimposed display is reduced.

A method for scheduling transmission of a data stream in a network. The method comprises: identifying an unscheduled set of data streams to be scheduled for respective transmissions on a subset of a set of links defining respective paths; respective transmissions of a subset of the data streams are scheduled on respective paths, wherein the scheduling defines a start time, a duration, and a cycle time of the transmissions on each respective link in the paths. The method comprises: determining a conflict between an unscheduled data stream and a scheduled data stream with respect to a link in a path; displaying unscheduled data streams, links and scheduled data streams which have conflicts; and for each scheduled data stream, displaying an image depicting each respective link of the path and a data transmission schedule with respect to each respective link in the path.

Embodiments of the present application relate to the technical field of computer, and particularly relate to a distributed network architecture construction method and system for port environment monitoring, which divides multiple monitoring sub-areas according to the port area environment monitoring requirements, and deploys a set of heterogeneous monitoring nodes in each sub-area. Real-time running state sensing processing is performed on the node set to generate a target network topology structure. Based on the topology structure, routing protocol generation and data scheduling strategy formulation are performed to obtain an adaptive routing table and data transmission scheduling rule. Distributed collaborative optimization processing is performed on the nodes according to the table and rule to generate a network resource allocation scheme and node task load adjustment instruction, and finally the port area distributed network architecture is reconstructed through the scheme and instruction to improve the efficiency and accuracy of port environment monitoring.

This invention belongs to the field of communication transmission scheduling technology. It provides a data transmission scheduling method based on edge computing communication devices, comprising: deploying collaborative scheduling agents at each edge node to collect available bandwidth, computing load, data dependencies, and task queue priorities in real time and report them to a central collaborative scheduler. The central scheduler reconstructs the directed acyclic graph of computing tasks based on global information, constructs a data dependency-aware queue, and jointly models bandwidth allocation and computing resource orchestration as a mixed-integer programming problem. A deep Q-network algorithm is used to solve for the optimal data transmission rate and computing task scheduling order. During the execution of each node agent, execution deviations are continuously monitored and feedback is provided. The central scheduler corrects resource estimates according to preset rules and then reschedules the tasks. This invention solves the resource mismatch problem caused by the deep coupling of data transmission and computing tasks in edge computing through joint optimization of computing and communication and a closed-loop feedback mechanism.

The application discloses a kind of distributed leakage estimation method of urban drainage pipe network based on sensor network.The method constructs the topological structure of sensor network and the state space model of urban drainage pipe network, describes the nonlinear random variation in drainage pipe network by using Bernoulli random sequence, describes the measurement attenuation phenomenon randomly occurred when sensor measures by using Rice attenuation model, and adopts Round-Robin communication protocol for data transmission scheduling;Then design distributed state estimator, then establish error augmented system, obtain the sufficient condition of mean square exponential stability and H ∞ performance;Finally, the gain matrix of distributed estimator is obtained by convex optimization method.It provides a real-time and effective method for accurate remote estimation and monitoring of urban drainage pipe network.

The invention belongs to the technical field of wireless communication networks, and particularly relates to a monitoring data transmission method and system based on a wireless network, and the method comprises the steps: collecting the internal force data of a steel support and the electromagnetic interference data of a channel environment; determining the initial sending probability of each wireless sensor node; constructing a historical time window sliding queue of the wireless sensor nodes, and determining an interference time sequence smoothing factor and a final sending probability; and performing access control and data transmission scheduling on the wireless sensor nodes by using the optimized p-persistent carrier monitoring multi-channel access algorithm. According to the invention, by analyzing the numerical value change characteristics of the steel support internal force data and the electromagnetic interference data, the transmission probability of the wireless sensor node is adaptively optimized, continuous strong mechanical electromagnetic interference is effectively avoided, the network anti-interference capability is enhanced, and the low-delay, safe and stable transmission of the engineering high-risk early warning monitoring data is ensured.

The application discloses a kind of efficient collection and processing system of electric power steel structure safety production monitoring data, comprising: space-time sparse sampling module analyzes electric power steel structure monitoring point space distribution density and vibration signal time domain characteristics, generates dynamic sampling strategy and executes collection operation by distributed sensing node;Data transmission scheduling module encapsulates data according to Predict Steel Core pre-research platform protocol, and directional transmission is adopted using time division multiplexing mechanism.The physical information prediction module imports the explicit time-domain physical information dynamic response prediction model, and generates state prediction data combined with the structure parameters;Threshold early warning analysis module loads online incremental learning dynamic threshold early warning algorithm to carry out real-time comparison.The platform interactive storage module stores data and provides calling interface, and the control coordination module dynamically adjusts the running parameters and data flow conversion time sequence of each module, the application guarantees the efficient operation of whole link, improves the efficiency and accuracy of electric power steel structure safety production monitoring data processing.

The application provides a kind of based on satellite internet's marine ship data transmission scheduling method and device. The method assesses the initial weight of ship sensor data queue according to data delay and bandwidth requirement, and dynamically adjusts the weight based on abnormal data detection and abnormal target detection method;Design a multi-layer buffer mechanism, define the validity period of data packet, and design a packet loss decision mechanism based on relaxation decision diagram;According to satellite ephemeris data, predict the satellite service window time, define the potential output performance function of data, and model the ship multi-sensor data queue scheduling process as a hierarchical Markov decision process;Design a ship multi-sensor data queue scheduling algorithm based on improved D3QN, which prevents queue overflow, ensures queue transmission fairness, and maximizes long-term data output performance within the service window time. The application effectively solves the problem that the effectiveness and fairness of real-time data transmission cannot be guaranteed under the condition of frequent switching of satellite-sea link.