924 results about "Packet loss rate" patented technology

The invention belongs to the technical field of data transmission, and particularly relates to an SD-WAN low-delay data transmission method and system based on edge computing, a plurality of edge computing nodes are deployed in an SD-WAN architecture, and the edge computing nodes are distributed on a network edge side, close to terminal equipment or a branch mechanism and have data preprocessing and local computing capabilities; monitoring network state parameters of each link in the SD-WAN in real time, wherein the network state parameters comprise delay, bandwidth, packet loss rate and computing resource utilization rate of edge nodes; routing to-be-transmitted data to the target edge node, and if the node has local processing capability, executing data preprocessing or caching operation; otherwise, forwarding the data to an adjacent edge node or a cloud data center; a distributed cache strategy is adopted, when network congestion is detected according to data access frequency and timeliness requirements, non-real-time data is temporarily stored in a local cache, and asynchronous transmission is executed after a link is recovered, so that the method has the effect of providing higher-quality and more reliable network service for a user.

The invention relates to the technical field of communication engineering, and discloses a power line carrier and wireless dual-mode fusion optimized communication method, which comprises the following steps of: 1, acquiring signal quality, noise and delay data of a power line and a wireless link in real time, and constructing a prediction model by utilizing historical data; step 2, dynamically adjusting a judgment threshold value of link switching in real time based on the prediction model, and ensuring that switching is triggered only when the signal change exceeds a preset range; step 3, based on the dynamic threshold, combining multiple indexes of signal-to-noise ratio, delay, packet loss rate and network load; according to the method, the necessity of link switching can be more intelligently judged by dynamically adjusting the judgment threshold of link switching and adopting a fuzzy logic decision mechanism, frequent switching during tiny fluctuation of signals is avoided by dynamic threshold adjustment, and a fuzzy logic system integrates multiple factors, so that the decision is finer, and the reliability of link switching is improved. And unnecessary delay and resource waste are reduced, so that the stability of a communication system is improved.

The invention relates to the technical field of software defined networks, in particular to an SRv6-based SDN (Software Defined Network) data center load balancing method and system, and the method comprises the steps: obtaining node real-time load and SRv6 routing available resource information through an SDN controller, constructing a load balancing model, and recognizing an overload node and a congestion link; generating a flow scheduling path in combination with segmented routing characteristics; in combination with network state information, monitoring the load condition in real time when the node is unbalanced or the link packet loss rate is gt; when 5%, a load balancing adjustment mechanism is triggered, unbalance types are distinguished, a related flow set is determined, optimization is performed by using a DQN algorithm, and a flow scheduling strategy is generated and dynamically adjusted by taking throughput maximization and unbalance degree minimization as targets; and issuing the scheduling strategy to the data center network equipment, updating the flow table through the Netconf protocol, and redistributing the flow. Therefore, the problems of low load balancing efficiency, insufficient dynamic adaptability, low resource utilization rate and the like in the prior art are solved.

A low earth orbit satellite (LEO)-based communication system and method. The system comprises a low-orbit satellite constellation, a ground station, a user terminal and a network management and control center. The network management and control center comprises a track and link prediction module, a link quality prediction and evaluation module, a predictive resource pre-allocation and dynamic adjustment module and a space-ground cooperative control module. According to the communication system, active resource optimization and dynamic adjustment before actual switching are realized through track and link prediction, link quality prediction, predictive resource pre-allocation and dynamic adjustment and air-ground cooperative control. According to the method, the switching time delay can be greatly reduced, the packet loss rate is remarkably reduced, and the system throughput and the access success rate are also remarkably improved. Through predictive management, the performance, reliability and user experience of LEO communication are comprehensively improved.

The invention provides a file high-speed transmission method based on multi-link aggregation, and solves the problems of low transmission efficiency and insufficient stability of a traditional single link. The method comprises the following steps: detecting network link performance parameters, and screening available links; according to the number of links, the average bandwidth and # imgabs0 # limitation, dynamically segmenting a large file into adaptive data blocks, numbering the data blocks, and adding information such as a position to a head; an improved dynamic load balancing algorithm is adopted, link quality (including bandwidth utilization rate, delay, packet loss rate, stability and dynamic adjustment of weight along with a network environment) and data block priority (distinguished according to types and sizes and the weight is adjusted according to file characteristics) are synthesized, data blocks are distributed to different links for parallel transmission, and pre-distribution verification ensures link load safety; and recombining the data blocks by the receiving end according to the numbers to realize file recovery. The system significantly improves the transmission efficiency through multi-link aggregation and dynamic strategy adjustment.

The invention relates to the technical field of mobile communication transmission, and discloses a heterogeneous network multilink parallel mobile communication transmission method and system. A dynamic link aggregation module of the system collects link state parameters including signal strength, delay jitter and packet loss rate from a plurality of heterogeneous network interfaces in real time; a flow distribution decision module calculates available bandwidth weight of each link according to the data and generates a dynamic flow distribution strategy; the data fragment packaging module splits to-be-transmitted data into a plurality of data fragments according to the strategy, and adds a sequence identifier and a link identifier to each fragment; the multi-channel concurrent transmission module sends corresponding data fragments in parallel through a specified heterogeneous network link; and the receiving recombination verification module sorts the recombination data fragments according to the sequence identifiers, and detects the data integrity through a verification mechanism. According to the system, a set of complete multi-link parallel transmission solution is formed, and the problems existing in a traditional single link and an existing multi-link transmission technology can be effectively solved.

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

The invention relates to the technical field of satellite telemetering and remote control, and discloses a port task processing method for a satellite measurement, operation and control system, which comprises the following steps of: 1, detecting all available network interfaces through a port scanner, and establishing a multi-path communication channel comprising a public network, a private network and a satellite link; step 2, acquiring packet loss rate, delay, bandwidth and jitter parameters of each path in the multi-path communication channel in real time, and updating the parameters based on a preset period; and step 3, generating a comprehensive score of each path according to the packet loss rate, the delay, the bandwidth and the jitter parameters. According to the method and the device, the technical scheme of dynamic scoring and switching of the multi-path communication channel is adopted, and the technical effect of automatically selecting the optimal path according to the real-time network performance is achieved; the problems of high transmission delay, large packet loss rate and incapability of adaptive adjustment caused by network fluctuation are solved.

The invention discloses a reliable communication system based on a publishing and subscribing mode in a satellite-ground weak network environment, and aims to solve the problems of high round-trip delay, limited link bandwidth, high instantaneous packet loss rate, easiness in blocking and switching influence of links and the like in a data transmission process between a low-orbit satellite and a ground station. A publishing and subscribing model is introduced into an application layer to realize service logic decoupling, deep fusion with an underlying enhanced QUIC transmission protocol is realized, and mechanisms such as message persistence, breakpoint resume, forward error correction and connection migration are combined, so that stable, orderly, complete and safe transmission of service data can still be ensured under the conditions of link instability, quality fluctuation and communication interruption, and the service data transmission efficiency is improved. And high availability and continuity of a satellite-ground communication task under a weak network condition are realized.

The invention belongs to the technical field of intelligent unmanned systems and edge intelligent reasoning, and discloses an unmanned aerial vehicle emergency inspection system integrating low-altitude communication and edge calculation. The system is composed of a link state monitoring and scoring module, a reasoning calculation migration and model loading module, a task graph modeling and dynamic segmentation module, a multi-unmanned aerial vehicle task collaboration and trajectory continuation module, a flight state fusion and path adjustment module, a redundancy criterion driven fault-tolerant control module and a result consistency verification and data caching module. According to the method, the communication link scoring function fusing the packet loss rate, the bandwidth, the time delay and the signal-to-noise ratio is constructed, the comprehensive quality evaluation of different low-altitude communication links is realized, and the reasoning model switching and task migration strategy is driven by the scoring result, so that the communication adaptation capability of the system in a complex, dynamic or emergent scene is remarkably improved, and the system performance is improved. Compared with an existing communication mechanism depending on a fixed link or a preset priority.

The invention discloses a network optimization method based on an online conference, which relates to the technical field of real-time audio and video transmission, and comprises the following steps: in a transnational network, deploying monitoring probes at nodes participating in the online conference for monitoring network parameters such as network delay, bandwidth, packet loss rate and jitter in real time; the method comprises the following steps: processing network parameters and predicting abnormity by using a statistical analysis algorithm and a time sequence model to obtain network condition information, and then combining global network topology and using a reinforcement learning Q-Learning model and a graph neural network GNN topology prediction algorithm; according to the method, the network condition is monitored and predicted in real time, the optimal transmission path is output by using the reinforcement learning Q-Learning model and the GNN topology prediction algorithm, the bandwidth fluctuation is predicted through the LSTM, the packet loss rate is predicted based on the Bayesian network, the data transmission strategy is optimized, the network delay, the packet loss rate and the jitter are effectively reduced, and the network performance is improved. And the smoothness and the stability of the conference are improved.

The invention relates to the technical field of wireless communication networks, in particular to an eSIM global operator dynamic OTA switching system based on an AI strategy, and the system comprises an environment data collection module which collects the bandwidth, the packet loss rate, the network stability and the switching success rate at an equipment end, and generates local network state data; the behavior and tariff modeling module collects communication behavior and tariff information and generates user preference data; the AI strategy generation module outputs an OTA control instruction based on a graph neural network and an attention mechanism; the OTA strategy synchronization module issues and analyzes an instruction to generate an execution parameter packet; and the double-link switching execution module completes switching and rollback configuration. According to the invention, by fusing graph neural network strategy modeling, a terminal AI and OTA cooperation mechanism and a double-link redundancy switching process, intelligent, low-delay and high-reliability dynamic switching of an eSIM operator is realized.

The invention relates to the field of broadband alarm, in particular to a broadband user-based optical modem power failure and fiber break alarm real-time monitoring method, which comprises the following steps of: S1, monitoring and recording the online state, the light attenuation level, the flow information, the packet loss rate, the network delay and the log of an optical modem under OLT (Optical Line Terminal) equipment in real time; s2, automatically identifying an abnormal mode and a potential fault according to a model established by a machine learning algorithm and a deep learning algorithm; s3, automatically diagnosing problem reasons according to the collected data, and optimizing the knowledge base in combination with an expert system; s4, performing deep mining and analysis on historical fault data, and predicting a potential fault risk based on the historical data and a real-time monitoring result; and S5, continuously updating and optimizing a fault detection and diagnosis model through a self-learning algorithm model, and uniformly monitoring and managing all data acquisition, analysis and alarm modules. The fault detection accuracy and timeliness can be improved, and potential fault prediction and preventive maintenance are realized.

The invention particularly relates to an emergency broadcast intelligent early warning system applied to disaster prevention and reduction, and relates to the technical field of communication. The redundant communication and self-adaptive switching module is configured to establish a multi-mode communication network, monitor link states in real time and realize intelligent switching and load balancing of communication links based on a dynamic algorithm; an intelligent decision-making and precise broadcasting module; and the emergency broadcast terminal is connected with the offline execution module. According to the invention, a multi-mode communication architecture is established, each link monitors parameters such as signal strength, delay, packet loss rate and the like in real time, and intelligent switching and load balancing are carried out through a dynamic routing algorithm; and meanwhile, on the basis of memory thermal characteristic analysis, link faults are pre-judged in advance, switching is triggered, the success rate of early warning information transmission under extreme disasters is ensured, and the problem of transmission interruption of traditional single link communication under the scenes of power failure, base station damage and the like is solved.

The invention relates to the technical field of satellite network communication, and discloses a multi-source multi-path scheduling method for remote sensing data transmission, which comprises the following steps of: firstly, establishing an index table for remote sensing data by using a space-time name formed by a service type, an acquisition area, acquisition time, a node identifier and a data category; and the controller analyzes time and space constraints in the request, selects a plurality of source nodes meeting conditions from an index table, calculates priorities according to parameters such as residual bandwidth, round-trip delay and packet loss rate, and selects a plurality of non-overlapping high-quality paths. And then adding a service type, a path number, a path state report and a flow proportion field in the interest packet and the data packet, so that the source node sends segmented data in parallel according to a preset proportion. And the forwarding node reports the link change in real time, and the controller dynamically adjusts the path set and the shunt weight, thereby ensuring that the high-bandwidth and low-delay data transmission performance is continuously obtained in a topology and load rapid change scene.

The invention relates to the technical field of audio and video coding, decoding and processing, provides an audio and video signal transmission method and system based on software and hardware cooperation of an autonomous controllable architecture, and solves the problem of low bandwidth utilization rate. The method comprises the following steps: synchronously acquiring bandwidth fluctuation, packet loss rate and transmission delay parameters of a mobile terminal link, and generating a network state level through association analysis; performing resolution scaling on a brightness component of a video frame, performing dynamic downsampling on a chrominance component, generating a resolution reduction frame adaptive to a network state, and generating a fault-tolerant coding stream by combining a packet loss rate regulation and control quantization step size, a frame group length and an inter-frame prediction mode; performing entropy decoding and motion compensation to align brightness and chrominance components, forming a decoding reconstruction frame, performing multi-scale feature extraction and detail compensation, generating an enhanced brightness graph, and performing independent reconstruction on chrominance decoding components; and outputting an original resolution video frame through color reconstruction fusion. According to the invention, high-definition video low-delay transmission under network fluctuation is realized, and both bandwidth adaptability and image quality restoration precision are considered.

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

The invention relates to the field of multimedia communication and network control, in particular to an intelligent network control method for low-delay video return and related equipment. The intelligent network control method comprises the following steps: acquiring network key indexes including bandwidth, delay, jitter and packet loss rate of a network link in real time, and providing real-time network environment data support for transmission strategy adjustment. According to the method, an intelligent control mechanism combining network state perception and video content feature recognition is constructed, so that the technical problem of low-delay video return in a complex network environment is effectively solved. Specifically, key indexes of a network link are collected in real time, and a lightweight CNN model is introduced to analyze the video content activeness, so that dual perception capabilities for a network environment and content features are formed, data support is provided for dynamic adjustment of coding parameters, and accurate balance between video quality and network adaptability is realized.

The invention discloses a short message communication method and system for FTU (feeder terminal unit) equipment of a power distribution network. The method comprises the following steps: acquiring a power state data stream, an equipment fault data stream and an equipment health state data stream in the FTU equipment of the power distribution network; each data stream is preprocessed; calculating the priority of each data stream by using a dynamic priority sorting algorithm based on each preprocessed data stream, and classifying the data streams into a high-priority data stream and a low-priority data stream; monitoring the real-time quality data of the communication link based on the Beidou No.3 satellite system, and predicting the health state of the satellite link by using an extended Kalman filtering algorithm to obtain a link health state prediction result; the real-time quality data comprises link delay, bandwidth and packet loss rate; and calculating a quality score of each link by using a nonlinear programming algorithm based on a link health state prediction result, and selecting the link according to the score to carry out data stream transmission. The reliability and the transmission efficiency of the system can be improved.

The invention provides a game accelerator packet loss optimization method and device based on flow priority management. The method comprises the following steps: executing periodic link detection on at least one proxy node, and generating a corresponding link monitoring result; judging whether the packet loss rates of two continuous monitoring periods exceed a first threshold value or not according to the link monitoring result; performing real-time classification on the to-be-sent data streams to obtain priority labels for different traffic categories; inputting a prediction algorithm based on a link monitoring result, obtaining a network quality prediction value of a next monitoring period, adaptively adjusting a redundancy proportion according to the network quality prediction value, and sending a queue bandwidth constraint parameter and an agent node; and sending the sorted source data packet and the redundant data packet to a target game server or a game client according to the updated proxy node so as to realize accelerated forwarding of the game data. According to the invention, the reliability, delay stability and bandwidth utilization rate of game data transmission in a cross-border high packet loss network environment can be improved.

The invention discloses an efficient storage and transmission method for monitoring data of a low-voltage power distribution network based on lossy / lossless hybrid compression, and relates to the technical field of data storage and transmission, comprising the following steps: completing data denoising correction at an edge node, and setting a plurality of compression strategies and layering mechanisms; judging whether the data is abnormal or not based on the mahalanobis distance, and selecting a proper compression mode through reconstruction error and bandwidth adaptation; the compressed data is subjected to importance labeling and FEC optimization and then sent to a receiving end, the receiving end evaluates the decoding quality and the packet loss rate, and finally a feedback result is used for online updating of the auto-encoder. According to the method, the differential FEC redundancy rate is allocated, so that the lossless fidelity of a key fault waveform and the high compression ratio of a common periodic signal are considered; and meanwhile, closed-loop self-adaption of compression discrimination, coding and model optimization is realized by utilizing online updating of the variable auto-encoder, so that the storage and transmission efficiency is improved, and the reliability and the real-time performance of the system in sudden failure and network fluctuation scenes are enhanced.

The invention relates to a method for dynamically adjusting parameters of a video encoder, which comprises the following steps of: acquiring a visual characteristic index corresponding to a video frame image in real time, and calculating an image complexity score of the image according to the visual characteristic index; the visual feature indexes comprise motion intensity, edge density and information entropy; acquiring a network index of a video transmission network in real time; the network indexes comprise available bandwidth, delay, jitter and packet loss rate; obtaining a current encoder control parameter according to the current image complexity score and the network index; the control parameters of the encoder comprise GOP, GP, FPS and Buffer Size; and adjusting the encoder according to the obtained control parameters of the encoder. The method is superior to an existing fixed parameter coding system in the aspects of image quality, delay control, system robustness and adaptability.

The invention particularly relates to a mobile camera management system capable of adaptively adjusting video coding quality. According to the mobile camera management system capable of adaptively adjusting the video coding quality, a network condition monitoring and predicting module is used for monitoring the current network bandwidth and packet loss rate in real time and predicting the network state; the video coding control module is used for dynamically adjusting video coding parameters according to the current network bandwidth and the ROI; and the adaptive adjustment strategy module is responsible for issuing a video coding strategy to the video coding control module according to the data fed back by the network state monitoring and prediction module so as to realize dynamic adjustment of the video coding quality. The mobile camera management system capable of adaptively adjusting the video coding quality can avoid video lagging and frame loss when the network bandwidth is relatively low, is suitable for various mobile devices such as a vehicle-mounted device, an unmanned aerial vehicle and a wearable camera, effectively improves the continuity and availability of video transmission, and realizes stable application in an environment with unstable signals.

The invention discloses a multi-band network resource allocation method based on ML-MADDPG, and belongs to the technical field of communication. According to the technical scheme, a basic framework of a communication system is established, and the environment and condition of multi-band resource allocation are defined; an integrated MBN network is adopted, and specific modeling is carried out by considering the characteristics of each frequency band; a meta learning method is fused into an MADDPG algorithm, and a meta learning MADDPG framework is constructed; according to task release of a multi-band network, each task corresponds to one network setting, specifically, the whole design is divided into a meta-training stage and a meta-adaptation stage; and target imbalance caused by direct weighted summation is avoided through a layered reward mechanism. The method has the beneficial effects that the packet loss rate is remarkably reduced, the network throughput is improved, the dynamic environment adaptability and sample efficiency are enhanced, the multi-agent cooperation and global coordination capability is optimized, the training stability and generalization capability are improved, efficient resource scheduling under complex constraints is supported, and the actual deployment cost and complexity are reduced.

The invention relates to the technical field of Internet of Things electric power communication, and discloses a remote software upgrading method and system based on an HPLC high-speed power line carrier network. The remote software upgrading method is applied to software upgrading equipment, and specifically comprises the following steps that S101, a master control node of software to be upgraded is obtained, the master control node completes encryption of an upgrading instruction packet through HPLC network broadcasting, if the master control node is in an offline state, a response is triggered through a wake-up pulse signal synchronized with a power line power frequency period, and if the master control node is not in the offline state, the software to be upgraded is upgraded; and it is ensured that the whole network nodes complete instruction synchronization within the preset time. Omnibearing upgrading and optimization are achieved through three core technologies of dynamic fragmentation transmission, millisecond-level service continuity guarantee and resource limit adaptation, the packet loss rate of a high-noise environment is compressed to 0.1% based on a signal-to-noise ratio self-adaptive fragmentation strategy (128KB-512KB), the average transmission time is reduced to 17.4 minutes from 30 minutes in combination with a multi-path concurrent transmission and breakpoint resume protocol, and the transmission efficiency is improved. And 300ms whole-network instruction synchronization is realized with the assistance of a power frequency synchronization wake-up mechanism.

The invention relates to the technical field of fire fighting protruding vehicles, in particular to a fire rescue communication protruding vehicle and an operation system thereof. The communication link monitoring and repairing module can monitor key parameters of the communication link in real time, such as signal strength, bit error rate and packet loss rate; in the rescue process, a communication link may be interfered and damaged by various factors, such as building shielding and electromagnetic interference, resulting in reduction or interruption of communication quality; through the real-time monitoring function of the module, abnormal conditions of a communication link can be found in time, and restoration operations such as reconfiguration of communication parameters and switching of a standby link can be rapidly and automatically executed when a fault is detected. For example, when the signal strength is reduced to a certain threshold value, the transmitting power is automatically adjusted or a more stable frequency band is switched; if the main communication link fails, the main communication link is immediately switched to the standby link to ensure uninterrupted communication; the rapid fault detection and repair capability greatly improves the reliability of a communication link, and guarantees the stable transmission of rescue information.

The invention relates to an eVTOL (electric vertical take-off and landing aircraft)-oriented multipath transmission optimization and dynamic path selection method, and aims to solve the problems of bandwidth, delay and packet loss of an eVTOL aircraft in high-throughput video data transmission. According to the method, key performance indexes such as bandwidth, delay and packet loss rate of a path are monitored in real time, and path selection is optimized in combination with flight state data, so that low-delay and high-bandwidth transmission of a panoramic video stream is ensured. An improved multi-path load balancing strategy is adopted, the flow is distributed according to the path score and the bandwidth margin, network congestion is avoided, and the data transmission stability is improved. By enhancing an MPQUIC protocol and optimizing multi-path cooperative transmission, a low-delay path is preferentially selected to transmit high-priority data. A redundant transmission mechanism ensures that data can still be reliably transmitted through other paths even if a part of paths lose packets. The method provides technical support for the construction of an immersive eVTOL driving experience platform, meets the requirements of low time delay, high bandwidth and high sense of reality, and has a wide application prospect.

The invention relates to a dynamic routing method for an underwater acoustic communication network, and the method comprises the steps: each node obtains the three-dimensional coordinates of the node in real time through a positioning module, and periodically broadcasts an enhanced neighbor discovery control packet comprising the node position, the node residual energy and the available bandwidth; the physical layer of each node determines a signal-to-noise ratio, a propagation delay and a packet loss rate according to the received enhanced neighbor discovery control packet, and updates a link state table through a shared memory; the network layer of each node reads the link state, position information and node residual energy of a neighbor node from the link state table of the shared memory, and constructs a neighbor table; when the source node sends underwater acoustic communication data to the destination node based on the neighbor table and there is no available route, route discovery is triggered to obtain a target route path; and sending the underwater acoustic communication data based on the target routing path.

The invention provides a game network acceleration method and device based on reinforcement learning multi-path collaboration. The method comprises the following steps: performing fixed-length fragmentation on game data to be sent, writing a continuous serial number and an error correction group identifier into each fragment, and generating redundant fragments in one-to-one correspondence with the fragments; inputting a path scheduler based on reinforcement learning by taking the packet loss probability prediction result as a state, and calculating respective path weights of the at least two proxy nodes to obtain a multi-path distribution strategy; according to a multi-path distribution strategy, sending the fragments and the redundant fragments corresponding to the fragments in parallel between the at least two proxy nodes; and performing forward error correction decoding and sequence rearrangement on the received fragments and the redundant fragments according to the error correction group identifiers, and reconstructing a complete game data packet sequence. According to the method and the device, the packet loss rate and the delay jitter can be dynamically reduced in a complex cross-border network environment, and the redundant bandwidth overhead is minimized while the real-time performance is ensured, so that stable and efficient game data transmission is realized.

The invention discloses an inter-body area network and intra-network joint optimization interference mitigation method based on channel prediction, which comprises the following steps of: firstly, predicting channel quality between each node and a coordinator in a body area network under different frequencies by using an autoregression model, classifying the body area network according to neighbor information among the body area networks, and dividing the channel quality of each node in the body area network according to neighbor information; secondly, distributing channels with different frequencies to various body area networks according to the principle of maximizing the average signal receiving strength of the nodes so as to avoid inter-network interference; in each body area network, the number of required time slots is calculated according to the service volume of each node, and when the number of time slots is not enough, the number of time slots of the nodes is reduced according to the principle that the total utility of the nodes is maximized; and then, according to the predicted channel quality condition of the nodes in the network under the allocated frequency, allocating time slots to the nodes by taking the minimum average packet loss probability as a principle. The method provided by the invention can be used for the scene of coexistence interference of the semi-dynamic body area network, and inter-network and intra-network interference can be avoided.