32 results about "Network clustering" patented technology

The invention discloses an underwater acoustic sensor network clustering method, system and device and a medium, and relates to the technical field of underwater acoustic communication, and the method comprises the steps: obtaining the current network state characteristics of each node of a target underwater acoustic sensor network, inputting the current network state characteristics into an underwater acoustic sensor network clustering model, and obtaining a current optimal clustering scheme; based on the current optimal clustering scheme, electing cluster head nodes through a dynamic role rotation mechanism, and generating an adaptive network topology structure; performing performance evaluation on the adaptive network topology structure to obtain a group of performance indexes; and if the performance index does not meet the performance threshold value, or the confidence coefficient of the current optimal clustering scheme output by the underwater acoustic sensor network clustering model is lower than a confidence coefficient threshold value, starting a complete optimization learning process. According to the technical scheme, the technical problem that it is difficult to balance multi-target performance online and adaptively and carry out continuous self-optimization to adapt to the dynamic underwater environment through an existing clustering method is effectively solved.

This invention provides an energy-saving clustering routing method for wireless sensor networks based on improved multi-target ant colony optimization, comprising: Step 1, initialization; Step 2, determining the set of active sensor nodes in the current round; Step 3, completing network clustering; Step 4, maintaining the Pareto optimal path solution set; Step 5, repeating steps 2 to 4 until the maximum number of iterations is reached or the solution set converges, outputting the Pareto optimal path solution set as the routing scheme for network data transmission. This invention improves network energy efficiency and extends network lifetime by constructing a globally collaborative energy management framework that integrates sleep scheduling, cluster head election, and routing optimization, while ensuring the real-time performance and reliability of data transmission.

The embodiment of the invention discloses a terminal data management method and device, electronic equipment and a storage medium. Through a multi-terminal cluster management triggering mechanism, monitoring data, installation position data and equipment operation state data are classified, only core data are transmitted and matched with terminal identifiers, the transmission efficiency is improved, and redundant data occupation is reduced; secondly, a standby switching design of a main communication module and a virtual operator network cluster communication module is adopted, so that the problem of data interruption caused by link instability in a complex environment is solved; and meanwhile, the core data are uniformly reported to the multi-terminal management server, so that multi-terminal uniform management and control and real-time state control are realized, the problems of low reliability and poor management efficiency of the existing scheme are solved, and the reliability and management efficiency of terminal data management are improved.

Techniques are disclosed for a computing system comprising processing circuitry having access to a storage device, the processing circuitry configured to: generate, by a network controller executing in a software defined network (SDN), an advertisement in a first network cluster executing within a container orchestration platform of the SDN, wherein the advertisement conforms to a routing protocol and comprises information identifying a network service executing in the first network cluster, wherein the network service exposes a backend of a network application to the container orchestration platform of the SDN; and broadcast, by the network controller and to a second network cluster executing within the container orchestration platform of the SDN, the advertisement in accordance with the routing protocol.

The embodiments of the present disclosure provide a network cluster data acquisition method and apparatus, the network cluster data acquisition method comprising: acquiring question text, the question text being for at least one network cluster; processing the question text on the basis of a target data processing model to generate response text, wherein the response text comprises answer text and step analysis text, the answer text is generated by the target data processing model on the basis of the step analysis text, and the step analysis text is generated by the target data processing model according to the question text and network cluster data corresponding to each network cluster. By using a target data processing model for data acquisition and processing, the present solution addresses the operational complexity and low efficiency of traditional methods, thereby achieving flexible multi-dimensional, multi-indicator responsiveness, and significantly improving the speed and accuracy of data acquisition.

The invention provides a wireless sensor network cooperative charging optimization method based on node attributes, and relates to the technical field of wireless sensor networks, and the method comprises the steps: carrying out the network clustering of each sensor node in a wireless sensor network, and determining a cluster head node and a common node of each cluster; respectively distributing independent mobile charging equipment for the cluster head nodes and the common nodes; receiving a charging request of a to-be-charged sensor node, acquiring an energy state and position information of the to-be-charged sensor node, and establishing a charging planning mathematical model; solving the charging planning mathematical model to obtain an optimal charging path scheme of each mobile charging device; and controlling each mobile charging device to charge each to-be-charged sensor node according to the optimal charging path scheme. According to the invention, the charging path of the charging equipment is dynamically optimized while the node energy supply is ensured, the charging efficiency is improved, the charging cost is reduced, and the service life of the network is prolonged.

The application discloses a kind of combination clustering scene reduction method and system based on potential decision result, the uncertainty factor of each node in power system is expressed as multidimensional curve input domain in the form of time sequence curve;Based on multidimensional curve input domain, the power supply planning problem solving model under different time scale scene is constructed, considering operation checking, multidimensional curve input domain is converted into potential decision result domain for clustering analysis;SOM neural network clustering is carried out to potential decision result, and preliminary clustering result is obtained;SOM and k-medoids combination clustering method is used to finally classify preliminary clustering result, and finally the typical scene used in operation checking is obtained.The application is used to cluster the most representative scene set in power supply planning typical scene operation checking, to reduce the complexity of solving model to the greatest extent under the condition of guaranteeing the reliability of checking result, improve calculation efficiency.

The invention provides an academic network graph clustering method based on structure perception and prototype constraint, and the method comprises the steps: obtaining high-dimensional data of an academic network, searching a corresponding feature matrix and an adjacent matrix, carrying out the normalization smoothing of the feature matrix, and obtaining an adjacent matrix; performing triple evaluation verification on the academic network high-dimensional data by using the processed feature matrix and the adjacency matrix to generate a corresponding verification view, performing soft orthogonality on the verification view to obtain an orthogonal view, calculating comparison loss and KL loss between the two views, determining a plurality of pieces of key distribution information of the academic network high-dimensional data, and determining the academic network high-dimensional data. An academic network clustering result is generated in the academic network, similar contents in related recommended papers are identified by using each piece of key distribution information and marked, and a report is recommended and displayed, so that a user can be helped to rapidly mine core resources and associated information in the academic network, the efficiency and accuracy of academic research are effectively improved, and the user experience is improved. And powerful technical support is provided for academic communication and innovation.

The application discloses a kind of underwater sensor network clustering parallel communication methods based on repeated calculation and improved K-means clustering, the method is not considered underwater energy propagation model in the current underwater LEACH protocol based on K-means clustering, and the lack of cluster head node broadcast parallel transmission time slot allocation information will increase its energy consumption, influence network communication rate, proposes to use underwater energy propagation model in K-means clustering to optimize the number of clustering, and to determine cluster head node and network clustering;Meanwhile, each node obtains its parallel transmission time slot by repeated calculation, i.e. The application can be applied to underwater sensor networks in network structures such as underwater ecological monitoring, early warning detection, disaster monitoring, etc.

The application relates to the technical field of network security, and provides an in-band clock synchronization method for a hopping network, which comprises the following steps: screening nodes with an error less than a preset threshold as primary selected nodes every interval of a preset time period; each primary selected node performs timing for a random time length, and the primary selected node that reaches the timing first is taken as a candidate node of a master node; the candidate node invites voting from other primary selected nodes, and if more than half of all the primary selected nodes vote for the candidate node, the candidate node is taken as the master node, broadcasts a master node heartbeat to other nodes, and performs a clock synchronization service. The method provided by the application solves the problems that the construction cost of deploying satellite time service devices in the whole network is high and the satellite time service devices are susceptible to interference, is based on the relative time synchronization among all the nodes in a cluster, and uses satellite time service as an auxiliary means to correct the relative time of the cluster, so that the time synchronization among the hopping network clusters is completed without an additional clock synchronization channel or a multiplexing control channel.

This application discloses a cloud-native network resource allocation method, apparatus, device, and storage medium, relating to the field of resource management technology, and applied to a network twin service for cloud-native network clusters. The method includes: constructing a topology graph representing the dependencies between microservices using instance information of each microservice in the cloud-native network cluster; evaluating the resource usage of each microservice based on preset business experience service metrics and real-time user experience data, combined with the topology graph; the preset business experience service metrics are performance indicators generated based on historical user experience data of each microservice, and the real-time user experience data are user experience data of each microservice in real time; and performing resource allocation operations on each microservice according to the corresponding evaluation results. This combines network twin technology with cloud-native network clusters, allocating resources to each microservice with a user experience-oriented approach, which can accurately optimize resource allocation to improve user experience and resource utilization efficiency.

The application discloses a spatial domain identification method and device for biological spatial transcriptome slices, comprising the following steps: constructing a spatial neighbor cell network according to the spatial position information of cells in a noisy spatial transcriptome slice; constructing a gene expression cell network according to the gene expression data in the preprocessed noisy spatial transcriptome slice; performing joint feature decomposition on the spatial neighbor cell network and the gene expression cell network through non-negative matrix decomposition to obtain spatial features and gene expression features; constructing a cell affinity graph according to the spatial features and the gene expression features; and performing unsupervised clustering of cells in the noisy spatial transcriptome slice based on the leiden algorithm according to the cell affinity graph to realize spatial domain identification of the noisy spatial transcriptome slice. The application converts the analysis and spatial domain identification of the noisy spatial transcriptome slice into a network clustering problem, further reduces the influence of noise existing in the gene expression data from a global level, and realizes accurate spatial domain identification.

1. The name of the design product: self-organizing network cluster communication command box. 2. The use of the design product: for quickly deploying a cluster communication system based on MESH self-organizing network, providing necessary video and network external interface. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention provides an RU information acquisition method and a container scheduling method and device based on RU information. The RU information acquisition method comprises the steps that first equipment acquires information of RU equipment managed by schedulable nodes in a network cluster; and the first device sends the information of the RU device to a second device, so as to determine a target scheduling node in the schedulable nodes. Therefore, the capability of the existing second equipment is enhanced, the collection of the RU information is supplemented, and the node selection is performed on the to-be-scheduled container based on the collected RU information of the schedulable node, so that the condition that the to-be-scheduled container, especially the to-be-scheduled container of a high-real-time task, is scheduled to the node which does not meet the RU requirement of the to-be-scheduled container is avoided, and the scheduling efficiency of the to-be-scheduled container is improved. Compared with the prior art, the method can be better applied to container scheduling in a high-real-time RU demand scene, not only can proper nodes be more accurately selected for container scheduling, but also the overall reliability of the network, the user experience and the resource utilization efficiency can be improved.

The application discloses a unicast-multicast cooperative transmission resource allocation method and device, and relates to the field of satellite communication. The method comprises the following steps: constructing a unicast-multicast cooperative transmission system model of a star-ground fusion network; the unicast-multicast cooperative transmission system model comprises a LEO satellite network, a ground base station network and a hybrid user group; based on the unicast-multicast cooperative transmission system model, a network clustering algorithm, a cooperation game theory with transferable utility and a continuous convex approximation method are adopted to jointly and iteratively optimize a dynamic topology graph and a beam power of the star-ground fusion network so as to obtain a beam power allocation scheme, with the aim of maximizing the signal-to-interference-and-noise ratio of users, maximizing the system throughput and maximizing the system energy efficiency. The application can improve the utilization efficiency of network resources.

The invention discloses a drill bit optimization and structure optimization method fusing big data classification and a golden section method, and the method comprises the steps: 1, collecting the data of a drill bit application adjacent well region, and constructing a drill bit database; 2, according to the borehole size of the target well, drill bit data corresponding to the same borehole size and the same stratum of an adjacent well are extracted, the drill bit data comprise the mechanical drilling speed and the drilling footage, normalization processing is carried out, and primary screening classification is carried out through a golden section method; step 3, on the basis of primary classification, performing normalization processing on wear classification of the drill bit, and performing clustering analysis by using a neural network method to complete secondary screening classification; step 4, performing optimization solution by fusing the drilling cycle and the cost constraint condition, and further providing suggestions for drill bit structure improvement and performance optimization; the defects in the prior art are overcome, and therefore the requirements for refined, scientific and reasonable application of the regional drill bit are met.

Cluster formation for networks for Ultra-Wideband (UWB) Time-Difference-of-Arrival (TDoA) networks may be provided. A plurality of anchors may be set to a primary setting. Synchronization messages may then be broadcast by the plurality of anchors. Then the plurality of anchors may send responses to the synchronization messages. A room consensus may be performed to determine probabilities of obstacles between the plurality of anchors. The plurality of anchors may then send proposals of one or more clusters based on the room consensus. One or more clusters may be formed by the plurality of anchors based on the proposals.

The invention relates to the technical field of automobile electronic network management, in particular to a partial network cluster fault isolation and recovery mechanism conforming to the AUTOSAR standard. Through PNC fault detection, isolation and self-healing recovery steps, PNC-level fault rapid detection, intelligent isolation and automatic recovery are realized. In the detection stage, the state is monitored through an NM-PDU containing a PNI / PNSR bit, and a fault is judged in a multi-condition mode; in the isolation stage, a fault PNC is marked by a coordination node, an isolation message is sent by adopting a time-sharing grading strategy, and a process is synchronously closed; in the recovery stage, instantaneous, continuous and hardware-level faults are adapted respectively through a three-level progressive mechanism. According to the method, the limitation of traditional whole network management is broken through, PNC-level accurate fault control is realized, fault diffusion is avoided, the recovery efficiency and robustness are improved, the AUTOSAR standard is followed, parameters can be flexibly configured, multiple types of vehicle network scenes are adapted, and stable operation of the system is guaranteed.

The invention discloses a medium interference suppression method and system based on chipless RFID, particularly relates to the technical field of chipless RFID, and is used for solving the problem of contradiction between dynamic change of chipless RFID node data generation rate and an LEACH protocol static clustering mechanism caused by medium interference. The method comprises the following steps: monitoring and acquiring a reading success rate of a corresponding chipless RFID tag through each chipless RFID reader-writer node as a data generation rate, constructing a dynamic attenuation matrix according to the data generation rate, and performing matrix decomposition to extract a signal attenuation dominant mode caused by medium interference; analyzing spatial features in the dominant mode to determine an influence domain range of medium interference, calculating a cluster head election weight by integrating node residual energy and the influence domain range when cluster head election is performed based on an LEACH protocol, and optimizing election cluster head nodes according to the weight to form a new network clustering structure. And the cluster head node aggregates the member node data in the cluster and forwards the data to the base station.

The application discloses an IEC104 communication protocol configuration compression method applied to a heat network multi-domain cooperative cluster control system. The method compresses IEC104 channel attributes and communication parameters of a heat exchange station remote data acquisition module, reduces the compilation time and compilation product size of the heat network multi-domain cooperative cluster control system, improves the starting speed of the heat network cluster controller and the heat exchange station remote data acquisition module, and reduces the network bandwidth and storage usage of the heat network cluster controller.

This application provides a communication method, apparatus, electronic device, and storage medium based on window scheduling. The method includes: in response to joining a neighbor-aware network cluster, a wireless execution module generates a discovery window based on a local time reference; within the discovery window, a scheduling control module interacts with the peer device by sending service discovery frames and exchanging action frames to negotiate and determine a communication window; the scheduling control module converts the scheduling information corresponding to the communication window into register configuration parameters and writes them into a window generation unit in the wireless execution module; the window generation unit performs time matching on the register configuration parameters based on the local time reference, triggers the communication window at the corresponding time, and performs data transmission and reception operations within the communication window. By adopting the above technical solution, the accuracy and consistency of the time window can be improved, thereby enhancing communication quality.

The invention discloses a robust connected dominating set clustering method based on a standby cluster head, and mainly solves the problems that a large-scale high-dynamic low-altitude network clustering structure is unstable, the fault reconstruction signaling overhead is high and the service interruption time delay is high in the navigation positioning information missing environment in the prior art. According to the scheme, the method comprises the steps that each node calculates the comprehensive weight of the node and interacts topological information, and nodes with the communication dominating capacity are marked as candidate dominating nodes; switching the node into a cluster head node or a candidate standby cluster head node based on a topology coverage rule and a weight decision rule; the common node and the candidate cluster head node receive the beacons and select the cluster head with the optimal state to send a random access request; the cluster head receives an access request, preferentially performs joint evaluation of performance and comprehensive weight on the candidate standby cluster head in the cluster, and selects the candidate standby cluster head with the optimal state as the standby cluster head; and the target node receives an assignment result, switches the assignment result into a standby cluster head and establishes a main-standby binding relationship with the cluster head node to complete division of each node. The method is high in cluster structure stability, high in fault self-healing speed and low in maintenance overhead, and can be used for distributed clustering networking and backbone network construction.

This invention relates to the technical field of UAV self-organizing network cluster management and control scheme design based on smart streetlights and satellite communication, specifically to a UAV self-organizing network cluster management and control system based on smart streetlights and satellite communication. It includes a smart streetlight subsystem, a satellite communication subsystem, UAV cluster nodes, and a dynamic collaborative control platform. The innovative scheme includes: (1) a multi-mode communication gateway to achieve seamless conversion between satellite protocols and terrestrial IoT protocols; (2) streetlight sensors generating dynamic risk maps to guide cluster obstacle avoidance; (3) a fast clustering algorithm based on geometric topology to support emergency networking during signal interruptions; (4) task priority-driven time slot allocation to improve communication efficiency; and (5) a multi-level redundancy system based on satellite, streetlight, and relay UAVs to ensure continuous controllability. This scheme significantly enhances the communication reliability, environmental adaptability, and collaborative capabilities of the cluster in complex urban areas.

This provides an in-vehicle device that enables dynamic control of dark current cut-off according to how the vehicle is used by the user. [Solution] An in-vehicle device for controlling an electronic control unit that constitutes an in-vehicle network equipped with a partial networking function, comprising: a first storage unit that stores first information indicating whether or not it is possible to cut dark current for all electronic control units in the partial network cluster to which the electronic control unit to be controlled belongs; a second storage unit that stores second information regarding power saving set by the vehicle user; and a control unit that performs processing to cut the dark current of the electronic control unit to be controlled based on the vehicle status, the first information, and the second information.

A method of identifying call muting areas includes dividing a network cluster into a plurality of grids, determining a call muting percentage of at least one first grid of the plurality of grids, determining whether the call muting percentage of the at least one first grid is greater than a predetermined call muting percentage threshold, and generating at least one call muting polygon including at least a portion of the at least one first grid based on determining that the call muting percentage of the at least one first grid is greater than the predetermined call muting percentage threshold.

The present application relates to the technical field of deep reinforcement learning, and discloses an optimization method and apparatus for deep reinforcement learning decision-making, a computer device, and a medium. The method comprises: detecting whether a candidate network cluster is in a policy evaluation state; if the candidate network cluster is in the policy evaluation state, acquiring an evaluation result corresponding to each training node outputted by a policy evaluation node; on the basis of the evaluation result, optimizing each training node in the candidate network cluster until the candidate network cluster satisfies a preset termination condition, so as to obtain a target action decision-making network; and determining a target action node in the target action decision-making network, and using an action policy corresponding to the target action node as a target action policy. The present application solves the problems of low training efficiency and tendencies toward local optimization and experience forgetting of a deep reinforcement learning decision-making optimization solution, insufficient utilization of agent correlation in a multi-node solution, and unsuitability of a single-node solution for multi-node training.

The application relates to a large-scale heterogeneous multi-attribute equipment scheme clustering decision method and medium, which comprises the following steps: converting heterogeneous attribute data in a digital twin decision information system into binary connection numbers; determining attribute weights by adopting a MEREC method; constructing attribute irreplaceable values based on the attribute weights and the binary connection numbers; generating a scheme similar network according to the attribute irreplaceable values; performing network clustering operation on the scheme similar network to output a scheme clustering result; and calculating the comprehensive target heart distance of the schemes in the cluster based on the scheme clustering result by adopting a grey target theory, and generating a final scheme score by fusing the scheme global value and the comprehensive target heart distance. The method solves the problems of heterogeneous information fusion distortion, attribute irreplaceable mechanism loss and low large-scale scheme clustering efficiency in a digital twin decision scene by constructing a 'heterogeneous data unification-attribute irreplaceable mechanism modeling-network clustering-clustered decision' mechanism.

The invention relates to a trunking communication terminal positioning method, device and system. The method comprises the following steps: receiving first satellite observation information of a trunking base station; receiving second satellite observation information of the cluster communication terminal; the first satellite observation information and the second satellite observation information are synchronously acquired information; according to the first satellite observation information, the second satellite observation information and the known position information of the cluster base station, real-time calibration position information of the cluster communication terminal is generated through a real-time dynamic differential positioning technology; and sending the real-time calibration position information to the cluster communication terminal. According to the trunking communication terminal positioning method, device and system provided by the embodiment of the invention, the technical problem that the original common handheld terminal equipment needs to be upgraded or replaced when the positioning precision is upgraded in a private network trunking communication system is solved.

The present disclosure relates to a method and a system for automatically upgrading a target network cluster The method comprises accessing, by a processing unit [302], a first container from a first set of containers associated with one or more network clusters. The method comprises initiating an upgrade procedure associated with the first container. The method comprises generating, by a generation unit [304], a modified set of container data in the first container based on the initiated upgrade procedure. The method comprises duplicating at the first container, the modified set of container data from the first container. The method comprises identifying, by an identification unit [306], the target network cluster from the one or more network clusters based on the upgrade procedure. The method comprises automatically upgrading the target network cluster by applying the duplicated modified container data to a second set of containers associated with the target network cluster.