461 results about "Packet transmission" patented technology

Embodiments of the invention provide a data packet transmission method and apparatus, an electronic device and a readable storage medium. The method comprises the steps of obtaining a target data packet; extracting a target field from the target data packet; acquiring historical communication data of the network equipment, and extracting a field in the protocol frame from the historical communication data to determine information redundancy of the field; according to the importance degree corresponding to the information redundancy evaluation field, determining the importance degree corresponding to the field matched with the target field as the importance degree corresponding to the target field; splitting the target data packet into sub-data packets according to the importance degree corresponding to the target field and the network state of the network equipment, and determining a transmission strategy of the sub-data packets; the transmission strategy at least comprises a window size and / or a bandwidth proportion when the sub-data packets are transmitted; and transmitting the sub-data packets according to the transmission strategy. According to the embodiment of the invention, the target data packet is transmitted according to the importance degree of the field in the target data packet and the network state, so that the transmission efficiency and reliability are ensured.

The invention discloses an anti-packet loss processing method and system for audio and video data. The method is applied to an articulated naturality web, the articulated naturality web comprises two groups of devices, and the two groups of devices are respectively a receiving end device and a transmitting end device. According to the anti-packet-loss processing method and system for the audio and video data, provided by the invention, through a series of steps of packet loss detection, recovery, error concealment and the like, the audio and video data can be recovered to the greatest extent under the condition of data packet loss, the problems of jamming, fuzzy pictures, discontinuous sound and the like are reduced, and the quality of the audio and video is remarkably improved; forward error correction, interpolation compensation and various error hiding methods are carried out by using redundant data, and lost data packets are processed from different angles, so that the definition and fluency of audios and videos and the fidelity of the audios are ensured; meanwhile, through secondary packet loss detection, the situation that the transmission integrity of the audio and video data packets is affected due to the fact that the packet loss phenomenon is not found in time can be effectively avoided.

The invention discloses a low-delay and high-reliability wireless communication method and system, a medium and a product, and relates to the field of industrial information and data processing.The method comprises the steps that when an industrial control data packet with a priority processing identifier is received, MAC address table look-up operation is executed on the industrial control data packet, and a priority data packet containing a target address identifier is generated; constructing a data transmission path forwarding by bypassing the network bridge according to the target address identifier of the priority data packet; transmitting the priority data packet to a Wi-Fi driving layer through the data transmission path, so as to write the priority data packet to a hardware sending queue, and generating a sending data packet containing a time sequence identifier; determining a periodic transmission time window synchronized with the industrial control period according to the time sequence identifier of the sent data packet; and detecting a channel state index in the transmission time window, generating a retransmission control parameter according to the channel state index, and executing a data packet transmission operation according to the retransmission control parameter. According to the invention, the processing time delay of wireless communication can be reduced.

The invention discloses a reinforcement learning routing optimization method considering a dynamic underwater sound environment and node mobility. The method comprises the following steps: performing parameter initialization on an underwater sensor network; monitoring and updating underwater environment parameters and node positions in real time, and dynamically updating a network topology connection state; during data transmission, constructing a multi-dimensional state vector, selecting a routing action by adopting an epsilon-greedy strategy, and generating a routing decision; if the data packet transmission fails when the routing action is executed, ending the iteration, otherwise, calculating a multi-target reward value; updating the Q value table to optimize the routing decision; and monitoring network performance indexes in real time, adaptively adjusting reinforcement learning parameters of the intelligent agent for next iteration, and outputting an adaptive routing selection model until an iteration termination condition is met. According to the method, time-varying channel and node mobility challenges can be intelligently dealt with, and multi-objective optimization balance of energy consumption, delay and stability is realized while the data delivery rate is remarkably improved.

The invention discloses a decentralized high-performance multicast method and system based on Gossip and RDMA, and relates to the field of computer network communication. The method has better reliability, realizes zero-loss transmission of data packets through message de-duplication, timeout retransmission, ACK / NACK convergence and a dynamic topology adaptation mechanism, ensures data consistency, and solves the problem of insufficient reliability of traditional UDP multicast; the method has the advantages that the real-time performance is high, the delay is low, the throughput is high, the zero copy and kernel bypass characteristics of the RDMA and the batch processing mechanism of the MPMC are combined, the average delay is lower than 10 microseconds, the throughput in a large data packet scene reaches 374GB / s, and the low-delay requirements of high-frequency transaction, high-performance calculation and the like are met; the method has high expansibility, is based on a decentralized architecture of an improved Gossip protocol, does not need core node maintenance topology, supports dynamic joining or quitting of nodes, can adapt to large-scale cluster expansion, and solves the expansibility bottleneck of centralized multicast.

A method, computer program product, and computing system for processing a plurality of packets transmitted from a first computing device to a second computing device. A packet sequence number associated with each packet is identified. An error-detecting code representation is generated using the packet sequence number of each packet. A packet that is missing from the plurality of packets is identified. A packet loss pattern associated with the plurality of packets is identified by comparing the error-detecting code representation with a plurality of entries of a high probability loss pattern memory table.

The invention relates to the technical field of Internet of Things communication, and particularly discloses an Internet of Things communication equipment data transmission packet loss compensation optimization method and system, and the method comprises the steps: obtaining a data packet transmission sequence, and obtaining the receiving state identifiers and transmission timestamps of a plurality of data packets according to the data packet transmission sequence; and acquiring network transmission quality parameters, and acquiring a received signal strength value sequence, a network jitter value sequence and a data packet delay fluctuation value sequence in a continuous time window according to the network transmission quality parameters. According to the method, by dynamically obtaining the multi-dimensional network transmission quality parameters in the continuous time window and calculating the actual loss probability value, misjudgment caused by a fixed threshold value is avoided, reliable recovery of the data flow is achieved in combination with a prediction compensation mechanism and consistency verification, and the problem of packet loss caused by network fluctuation in the environment of the Internet of Things is effectively solved.

Provided are a data packet transmission method and apparatus, communication node and medium. The method includes transmitting a handover request message that includes information for a target donor node to forward data; and receiving retransmission data packets forwarded by the target donor node.

Systems and methods are provided for improved TCP congestion control designed to address “mixed coarse-grained-fine-grained signal” scenarios. A TCP sender of the present technology achieves this improvement by leveraging two TCP congestion windows for a TCP connection: (1) a “fine-grained TCP signal-dependent congestion window” which is adjusted in response to “fine-grained” TCP congestion signals (as intelligently classified / defined by the present technology); and (2) a “coarse-grained TCP signal-dependent congestion window” which is adjusted in response to “coarse-grained” TCP congestion signals (as intelligently classified / defined by the present technology). With these two novel / unique congestion windows at disposal, the TCP sender can then dynamically (and intelligently) select an appropriate congestion window for dictating packet transmission for a TCP connection (e.g., the contemporaneously smaller congestion window). The TCP sender can also dynamically (and intelligently) synchronize the two congestion windows in order to ensure smoother transitions between utilized congestion windows.

The invention belongs to the technical field of computer network, artificial intelligence and network flow optimization, and discloses a Q-Learning network path planning method based on multi-dimensional reward and adaptive exploration, which comprises the steps of 1, network environment modeling and parameter initialization, 2, multi-strategy action selection, and 3, multi-strategy action selection. Step 3, calculating a multi-dimensional reward according to a multi-dimensional reward rule in a data packet transmission process; step 4, performing adaptive exploration adjustment, monitoring the search success rate in a predetermined period in real time, and dynamically adjusting the exploration intensity epsilon according to the search success rate; step 5, performing adaptive pruning optimization to finally obtain a candidate action set; and step 6, iteratively updating and finally outputting an optimal routing path and a Q value table. According to the invention, the routing exploration efficiency can be improved, dense learning signals are provided, and the calculation overhead is reduced.

The invention discloses a satellite-ground fusion network MPQUIC data packet transmission scheduling method, which comprises the following steps: adopting a real-time path index cache and sliding time window mechanism to measure the round-trip time and packet loss rate of a satellite and a ground path in real time so as to obtain the instantaneous quality state of the path; a comprehensive path scoring model combining the bandwidth, the buffer area utilization rate, the round-trip delay and the packet loss rate is constructed, an award factor and a penalty factor are dynamically adjusted, and a current optimal transmission path is adaptively selected; a switching event of a satellite link is predicted based on satellite orbit data, and data packet transmission of the path is skipped in advance. According to the method, the problems caused by path isomerism and high dynamics in the satellite-ground convergence network are solved; according to the invention, higher throughput and lower flow completion time can be realized, and the transmission stability is greatly improved.

The invention provides a time synchronization method executed by slave equipment, and the method comprises the steps: receiving a time synchronization packet from master equipment, and obtaining the packet transmitting time of the master equipment and the packet receiving time of the slave equipment; calculating a clock offset value between the slave device and the master device based on the packet transmitting time of the master device, the packet receiving time of the slave device and the path delay calibration value, and correcting a local clock of the slave device; wherein the path time delay calibration value is related to the distance between the master device and the slave device. The method can correct the clock skew between the master device and the slave device in real time, and improves the time synchronization precision.

The application provides a transmission method of indication information, a message transmission method and related devices, and the method comprises the following steps: an intermediate session management network element sends third indication information to a target user plane network element according to second indication information from a session management network element, so that the target user plane network element buffers uplink data packets according to the third indication information; when the session management network element learns that the target application network element has completed the switching, the session management network element can send fourth indication information to the intermediate session management network element, so that the intermediate session management network element sends fifth indication information to the target user plane network element according to the fourth indication information, and then the target user plane network element forwards the uplink data packets according to the fifth indication information, which avoids the loss of data packets and improves the reliability of data packet transmission.

In a method of data processing, when a service request is initiated by an application running on a terminal device, a temporary key is allocated to the service request. The temporary key is encrypted by using a certificate public key, to obtain an encrypted temporary key, the certificate public key is preset in a source code of the application, and a certificate private key associated with the certificate public key is stored in a server for the application. Request data of the service request is encrypted by using the temporary key, to obtain at least a ciphertext. A network response request packet is generated based on the encrypted temporary key and the ciphertext. The network response request packet is transmitted to the server, the network response request packet requests the server to respond to the service request. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

This disclosure provides methods, components, devices, and systems for prediction-based latency aware power saving using adaptive target wake time (TWT). Some aspects more specifically relate to aligning traffic flows from multiple applications by using next expected times for packet transmissions, latency threshold values, processing times, and statistics to determine a next TWT. The next TWT may be communicated from a wireless device to a companion device. The wireless device may enter a sleep mode until the next TWT.

The invention belongs to the technical field of Internet of Vehicles control, and particularly discloses a resource allocation method and system of a cellular Internet of Vehicles based on graph reinforcement learning. The method comprises the following steps: firstly, establishing a two-dimensional Markov chain model, and describing a resource allocation and data packet transmission process in a CAM and DENM coexistence scene; then providing a data packet reception ratio model used for evaluating the successful reception probability of CAM and DENM data packets; meanwhile, a time delay model is provided for describing the time interval between two continuous CAM data packets or DENM data packets successfully received by the same vehicle. On this basis, a multi-agent deep reinforcement learning framework is established to realize intelligent resource selection decision of the vehicle, and a resource allocation method based on graph reinforcement learning is further provided to guide the agents to more effectively extract spatial topological features of vehicle nodes, so that the resource allocation efficiency is improved. According to the invention, based on the extracted features, the optimal resource allocation decision can be learned and acquired for each vehicle, the successful reception rate of data packets of CAM and DENM is improved, and the time delay is reduced.

The invention discloses a time service synchronization method, a computer readable storage medium and electronic equipment, and the method comprises the steps: starting a high-frequency SPXO clock source in each preset period based on the timing of a low-frequency SPXO clock source, and enabling the high-frequency SPXO clock source to be aligned with a low-frequency clock moment after buffering; calculating the planned output time of the pulse time service signal by combining the high-frequency clock receiving window, the synchronous packet sending duration, the preset ToF correction window timing value and the latest ToF value; the synchronization packet sent by the host is received before the plan time, correction output time is determined according to the receiving moment, the ToF correction window timing value and the ToF value, and the host sends a pulse to the slave after sending the synchronization packet and passing through the ToF correction window; calculating correction and plan time deviation; performing clock taming on a low-frequency SPXO clock source and a high-frequency SPXO clock source through a multi-cycle deviation value to realize time service synchronization of the slave and the host; and then the high-frequency SPXO clock source is closed.

An enhanced long range (ELR) communication methods are provided. An ELR communication method includes transmitting a packet using even-indexed tone selection. Another ELR communication method includes transmitting a packet using two times duplication of even-indexed 106-tone resource units (RUs) in frequency domain.

Disclosed in the present application are a packet sending apparatus and receiving apparatus. The packet sending apparatus comprises: a first packet sending module (110), a first on-chip cache (120), a first packet receiving module (130), and a first processing logic module (140), wherein the first packet sending module (110) is used for sending, on the basis of a preset packet transmission window, target packets corresponding to packet tasks, and recording sending information of the target packets; the first packet receiving module (130) is used for receiving response packets of the target packets, and updating a first bitmap to the first on-chip cache (120) when the response packets carry the first bitmap, wherein the first bitmap stores identification fields used for indicating the reception status of the target packets; the first processing logic module (140) is used for generating a retransmission request on the basis of the first bitmap and the sending information when packet retransmission is required; and the first packet sending module (110) is further used for generating a retransmission packet on the basis of the retransmission request and sending the retransmission packet.

The application belongs to the technical field of Internet of Vehicles control, and specifically discloses a resource allocation method and system for cellular Internet of Vehicles based on graph reinforcement learning. First, a two-dimensional Markov chain model is established to describe the resource allocation and data packet transmission process in the coexistence scenario of CAM and DENM. Then, a data packet reception ratio model is proposed to evaluate the successful reception probability of CAM and DENM data packets. Meanwhile, a delay model is proposed to depict the time interval between the successful reception of two consecutive CAM data packets or DENM data packets of the same vehicle. On this basis, a multi-agent deep reinforcement learning framework is established to realize intelligent resource selection decision of vehicles. Furthermore, a resource allocation method based on graph reinforcement learning is proposed to guide the agents to more effectively extract the spatial topological features of vehicle nodes. Based on the extracted features, the application can learn and obtain the optimal resource allocation decision for each vehicle, thereby improving the successful reception rate of CAM and DENM data packets and reducing the delay.

The application discloses a kind of medium distance wireless transmission methods, comprising the following steps: S1: terminal equipment sends connection request frame by main control frequency band, contains equipment ID and signal strength RSSI value;S2: gateway receives request, and channel quality index is calculated based on RSSI value, and based on result dynamic distribution to auxiliary frequency band;S3: main control frequency band adopts FSK modulation transmission control instruction, and auxiliary frequency band adopts QPSK-OFDM modulation transmission data packet;S4: when data transmission, channel parameter is collected once every 10ms, if packet loss rate>5%, then auxiliary frequency band is switched to π / 4-DQPSK modulation transmission.The beneficial effects of the present application are: based on RSSI value calculation channel quality index, and based on result dynamic distribution to auxiliary frequency band or main control frequency band, cleverly adopt double-band collaborative transmission mechanism, through real-time monitoring channel quality dynamic switching modulation mode, improve the reliability of data packet transmission.

Methods and systems for initiating, configuring and measuring motion-to-photon quality of service (QoS) for an Extended Reality (XR) service. A user device generates media data based on a detected sensor input and inserts a first timestamp and QoS indicator into the packetized media data transmitted through an access network and control network to a digital world data processing function (DWDPF). The DWDPF processes the media data and generates and packetizes an XR media object. It inserts timestamps and the QoS indicator. Various network functions may insert their own timestamps during transit of the packets based on detection of the QoS indicator. The user device receives the XR media object, extracts the timestamps, determines QoS parameters and reports the QoS parameters.

Duplicated packet transmission methods are provided. The duplicated packet transmission method may include the following steps. A sender may determine whether to pad at least one duplicated packet into a multi-user physical-protocol-data-unit (MU-PPDU) based on at least one condition. Then, the sender may transmit the MU-PPDU with the duplicated packet to at least one receiver when the condition is met.

The invention provides a sea-land real-time data transmission and intelligent monitoring method for offshore fracture acidizing operation, and the method comprises the steps: collecting a multi-source heterogeneous signal, carrying out the unified access through a multi-protocol interface, converting the multi-source heterogeneous signal into a standardized numerical value, and generating a standardized data set after timestamp synchronization and physical unit unification; on the basis of the standardized data set, the acid liquor forward position, the near-well corrosion rate and the wellhead pressure drop trend are calculated in real time through a state calculation model fusing sea condition parameters, risk scoring is conducted in combination with a sea condition corrosion coupling mechanism, and a state parameter set and a risk level are output; generating a link strategy parameter set according to the state parameter set and the risk level; and carrying out compression, redundancy coding, channel selection and packet sending time sequence control on data according to the link strategy parameter set, sending the data to a shore end by a sending end through a cross-medium link, and completing decoding, verification and restoration at the shore end.

The embodiment of the invention provides a wireless router stability aging test method and device, and the method comprises the steps: presetting aging test parameters, and controlling a to-be-tested wireless router to enter an aging test mode based on the preset aging test parameters; within the preset aging duration, state monitoring data of the wireless router to be tested are collected in real time, and after the preset aging duration is reached, the wireless router to be tested is controlled to stop signal transmission and data packet transmission and tries to be connected with the preset verification network; generating a final judgment result of the to-be-tested wireless router based on a network connection result and the state monitoring data; and general verification is combined with state data collected in real time for comprehensive judgment, so that errors caused by manual judgment are avoided, and objectivity and consistency of test result judgment are realized.

Embodiments of the present application provide a data packet transmission method and device, terminal equipment and storage medium, comprising: obtaining a first fragmented data packet to be sent; performing first forward error correction coding on the first fragmented data packet to obtain a second fragmented data packet; configuring the second fragmented data packet according to preset bandwidth information of each link; performing second forward error correction coding on the second fragmented data packet on each link to obtain a target fragmented data packet, and sending the target fragmented data packet to a receiving end device. Through double forward error correction coding on the data packet to be transmitted and data transmission according to the bandwidth information of each link, the link stability in the transmission process is increased, and the retransmission rate is reduced.

Methods, systems, and apparatuses are provided for managing and routing data in a multi-tier network architecture. The methods include transmitting a data flow comprising a sequence of data packets to a source leaf switch and determining if an intended route exists in a forwarding table stored at the source leaf switch using routing metadata. If the intended route does not exist, a control packet is transmitted to a centralized coordinator switch, which modifies an allocation table to include an updated route. The forwarding table at the source leaf switch is then updated with the updated route, and the data flow is transmitted to its destination.

A streamlined input / output (IO) device wireless communication packet polling and reception system of a wireless radio system, such as a wireless communication dongle, at an information handling system may comprise a controller to execute code instructions to transmit with the wireless radio system an initial polling packet initially allotting to a paired wireless IO device the data packet number and data packet transmission time slots for a first data packet communication frame, the controller to switch the wireless radio system to receive during the first data packet communication frame the initially allotted number of data packets at the initial allotted data packet transmission time slots from the wireless IO device, and the wireless radio system to transmit an updated polling packet acknowledging receipt of the transmitted number of data packets and instructing the wireless IO device for the allotted data packet number during a second data packet communication frame.

Provided in the embodiments of the present disclosure are a data packet transmission method for a cloud computing platform accessing a third-party network element, and a related device. When an application service uses a third-party network element, an access gateway may adaptively adjust, on the basis of data packet size information, a PMTU required for the current transmission, thereby greatly reducing the probability of a data packet sent by the access gateway to the third-party network element being fragmented, improving the transmission efficiency of the data packet, and ensuring the network connectivity and user experience of the application service. Moreover, the adaptive PMTU is provided only for the data packet transmission between the access gateway and the third-party network element. In this way, a non-standard MTU will not be introduced into a cloud computing platform, and PMTU restrictions are lifted for the network traffic of an application client that accesses the third-party network element via the access gateway, thereby improving the usage experience of users on the cloud computing platform.