41 results about "Data transfer scheduling" patented technology

The invention discloses an efficient acquisition and processing system for safety production monitoring data of an electric power steel structure, and the system comprises a space-time sparse sampling module which analyzes the spatial distribution density of monitoring points of the electric power steel structure and the time domain characteristics of vibration signals, generates a dynamic sampling strategy, and carries out the acquisition operation through distributed sensing nodes; and the data transmission scheduling module encapsulates data according to a Predict Steel Core pre-research platform protocol, and performs directional transmission by adopting a time division multiplexing mechanism. The physical information prediction module imports an explicit time-domain physical information dynamic response prediction model and generates state prediction data in combination with the structure parameters; and the threshold early-warning analysis module loads an online incremental learning dynamic threshold early-warning algorithm to carry out real-time comparison. The platform interaction storage module stores data in a classified mode and provides a calling interface, the control coordination module dynamically adjusts operation parameters and data circulation time sequences of all the modules, efficient operation of the whole link is guaranteed, and the processing efficiency and accuracy of the safety production monitoring data of the electric power steel structure are improved.

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 embodiment of the invention relates to the technical field of computers, in particular to a distributed network architecture construction method and system for port environment monitoring, and the method comprises the steps: dividing a plurality of monitoring sub-regions according to the port region environment monitoring requirements, and deploying a heterogeneous monitoring node set in each sub-region. And performing real-time operation state sensing processing on the node set to generate a target network topology structure. And executing routing protocol generation and data scheduling strategy formulation based on the topological structure to obtain a self-adaptive routing table and a data transmission scheduling rule. According to the tables and the rules, distributed collaborative optimization processing is performed on the nodes, network resource allocation schemes and node task load adjustment instructions are generated, finally, port area distributed network architecture reconstruction is performed through the schemes and the instructions, and the efficiency and the accuracy of port environment monitoring are improved.

The invention discloses a communication method and a related device, and the method comprises the steps: designing an uplink reference signal (namely a first reference signal), enabling a terminal to transmit the first reference signal for rapid synchronization and / or channel measurement and also for triggering data transmission scheduling when there is a data transmission demand in an energy-saving mode, in this way, rapid data transmission in the energy-saving mode can be achieved through few transmission steps, and the communication performance 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 invention discloses a dual-mode intelligent terminal communication scheduling method and a related device, and relates to the technical field of wireless communication. When the method is in the HPLC communication mode, if the RSSI is smaller than the preset threshold value, the method is automatically switched to the HRF communication mode; after terminal information of a plurality of intelligent terminals is periodically obtained, a terminal action combination is generated through a deep reinforcement learning network DQN; obtaining a concurrent communication terminal combination of the current time slot according to the terminal information; setting a sending power and a CCA threshold corresponding to the concurrent communication terminal combination of the current time slot according to the terminal action combination, and then starting the concurrent communication terminal combination of the current time slot to perform data transmission; and repeatedly executing the steps for the intelligent terminals which are not scheduled until the data transmission scheduling of all the intelligent terminals is completed. The terminal action combination is generated through the DQN, and the optimal sending power and the optimal CCA threshold value are searched for each terminal in the current sending time slot, so that the communication efficiency and the communication success rate are improved.

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 discloses a bit data transmission scheduling method based on a 6G space-ground integrated quantum network, a storage medium and equipment. The method comprises the following steps: constructing a 6G space-ground integrated quantum communication network; nodes meeting network scheduling task requirements in the quantum communication network are searched, a candidate node set is constructed, and an optimal transmitting node is screened out and determined; transmitting a quantum state to a receiving end through a quantum key distribution protocol at an optimal transmitting node, calculating a quantum bit error rate, and selecting a candidate relay node from a candidate node set by taking minimization of the quantum bit error rate as a target to form 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 from a network scheduling task through the random matrix density, and transmits the ciphertext to a receiving end. According to the invention, through reasonable scheduling of network resources and quantum communication, data security is ensured.

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 invention provides a scheduling method and device for MU-MIMO data transmission, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: acquiring CQIs (Channel Quality Indicator) of a current shared beam channel and an available shared beam channel, and channel capacities and transmission powers of different CCE (Channel Control Element) resources under a current control beam channel at a historical moment; determining beam channel control information at the current moment and corresponding CCE resources based on the CQI of the current shared beam channel and the available shared beam channel, and the channel capacities and transmission powers of different CCE resources under the current control beam channel at the historical moment; and sending the beam channel control information to the MU-MIMO paired user based on the corresponding CCE resource, so that the MU-MIMO paired user schedules data transmission at the current moment to a target shared beam channel based on the beam channel control information. The objective of the invention is to at least solve the problem of poor scheduling performance of MU-MIMO data transmission in related technologies.

The invention discloses a multi-source collaborative comprehensive power regulation and control system and a self-adaptive control method thereof, and relates to the technical field of power systems, and the system comprises a data collection module which is used for collecting the real-time operation data of a power grid; the control module is used for executing a self-adaptive control algorithm; the communication module is used for data transmission among all parts of the system; the scheduling module is used for dynamic power distribution; and the user interface module is used for displaying a system state, the control module adopts an SAMFO algorithm and dynamically selects a PSO algorithm, a GA algorithm or an SA algorithm for optimization, and the SAMFO algorithm dynamically adjusts an algorithm weight according to power grid stability, load fluctuation and a local optimal condition. According to the multi-source collaborative comprehensive power regulation and control system and the adaptive control method thereof, by combining adaptive multi-algorithm fusion optimization (SAMFO) and a multi-source collaborative scheduling strategy, an optimal optimization algorithm can be adaptively selected for different power grid working conditions.

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 provides a data transmission scheduling method and electronic equipment, and the method is executed by first electronic equipment, and comprises the steps: obtaining a current transmission scheduling strategy, and carrying out the data transmission according to the current transmission scheduling strategy, the current transmission scheduling strategy comprises proportions of different services executed by each electronic device distributed on different data transmission links, each electronic device comprises electronic devices which are located in the same cell and execute the data transmission scheduling method, and each electronic device comprises a first electronic device; under the condition that the current transmission scheduling strategy does not meet a preset constraint condition, a first service which does not meet the constraint condition is determined, and the first service is one of different services executed by the electronic devices; 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 strategy, and circularly executing the first operation. Therefore, efficient and reliable data transmission is realized.

A computing device, including a processor configured to perform data transfer scheduling for a hardware accelerator including a plurality of processing areas. Performing data transfer scheduling may include receiving a plurality of data transfer instructions that encode requests to transfer data to respective processing areas. Performing data transfer scheduling may further include identifying a plurality of transfer path conflicts between the data transfer instructions. Performing data transfer scheduling may further include sorting the data transfer instructions into a plurality of transfer instruction subsets. Within each transfer instruction subset, none of the data transfer instructions have transfer path conflicts. For each transfer instruction subset, performing data transfer scheduling may further include conveying the data transfer instructions included in that transfer instruction subset to the hardware accelerator. The data transfer instructions may be conveyed in a plurality of sequential data transfer phases that correspond to the transfer instruction subsets.

The invention provides a marine ship data transmission scheduling method and device based on a satellite internet. According to the method, the initial weight of a ship sensor data queue is evaluated according to data delay and bandwidth requirements, and dynamic weight adjustment is carried out based on methods such as abnormal data detection and abnormal target detection; designing a multi-layer buffer mechanism, defining a data packet validity period, and designing a packet loss decision mechanism based on a relaxation decision diagram; according to satellite ephemeris data, satellite service window time is predicted, a data potential output efficiency function is defined, and a ship multi-sensor data queue scheduling process is modeled as a layered Markov decision process; a ship multi-sensor data queue scheduling algorithm based on the improved D3QN is designed, queue overflow is prevented, queue transmission fairness is guaranteed, and meanwhile long-term data output efficiency within service window time is maximized. According to the method, the problem that the effectiveness and fairness of real-time data transmission under the condition of frequent switching of starry sea links are difficult to guarantee is effectively solved.

The application discloses a dual-mode intelligent terminal communication scheduling method and related devices, and relates to the technical field of wireless communication. In the above method, if RSSI is less than a preset threshold value when in the HPLC communication mode, the HPLC communication mode is automatically switched to the HRF communication mode; after terminal information of a plurality of intelligent terminals is periodically acquired, a terminal action combination is generated through a deep reinforcement learning network DQN; a concurrent communication terminal combination of a current time slot is obtained according to the terminal information; after a sending power and a CCA threshold corresponding to the concurrent communication terminal combination of the current time slot are set according to the terminal action combination, data transmission of the concurrent communication terminal combination of the current time slot is started; for an intelligent terminal that is not scheduled, the steps are repeatedly executed until data transmission scheduling of all intelligent terminals is completed. The terminal action combination is generated through the DQN, the optimal sending power and CCA threshold are found for each terminal in a current sending time slot, and therefore, the communication efficiency and the communication success rate are improved.

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 discloses a performance and power consumption collaborative optimization method for a PCIe switching board, and the method comprises the steps: obtaining the load distribution weight of each link through a dynamic load balancing algorithm based on the current working state and historical load data of the PCIe switching board, constructing a link training initial parameter set in combination with the electrical characteristic parameters of a port, and carrying out the optimization of the performance and power consumption of the PCIe switching board; link training is completed by means of link training and a negotiation model, and parameters are dynamically adjusted according to signal quality in training. And after the link training is finished, constructing a data transmission scheduling scheme according to the service flow model and the load distribution weight, monitoring power consumption in real time during data transmission, and reducing the power consumption by adjusting the transmission rate and the link state when the power consumption exceeds a preset threshold value. And finally, optimizing and updating a dynamic load balancing algorithm and link training and negotiation model parameters according to performance indexes and power consumption parameters in a data transmission process. According to the method, collaborative optimization of the performance and the power consumption of the PCIe exchange board is realized, and the resource utilization rate and the system operation efficiency are improved.

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.

Systems (100), devices (102), apparatuses (104) and methods (300) for signal monitoring in a network are disclosed. The method (300) comprises: determining data transmission scheduling in a subsequent period; generating data comprising an indication for signal monitoring based on the data transmission schedule; and transmitting the data comprising the indication for signal monitoring to a user device in a current period.

This invention provides a method, apparatus, network device, and electronic device for energy saving in network equipment, relating to the field of wireless communication technology. The method includes: in the current energy-saving cycle, performing converged scheduling processing based on the original data transmission scheduling times of multiple similar terminals of the network device, to obtain the total data transmission scheduling time of the multiple similar terminals after converged scheduling processing; wherein the multiple similar terminals are terminals with similar network attributes and / or service types within the current energy-saving cycle, and the service types of the multiple similar terminals within the current energy-saving cycle are all low-priority service types; determining the non-service time within the current energy-saving cycle based on the total data transmission scheduling time; and controlling the radio frequency channel of the network device to be shut down during the non-service time. This invention can reduce the energy consumption of the radio frequency channel and the energy consumption of the network device without affecting service perception.

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.