15results about How to "Reduce control overhead" patented technology

The invention relates to a priority-based high-visibility stream-by-stream data packet sampling method and system. Comprising the following steps: step 1, flow initiation and priority marking; step 2, flow establishment and controller decision making; step 3, rule issuing and strategy execution; and step 4, data forwarding, scheduling and sampling: a priority scheduling mechanism of a data plane and global optimization of a control plane are decoupled and coordinated. In a data plane, a terminal host marks a degradation priority for a data packet according to the number of bytes sent by a stream, and a switch performs strict queue scheduling and probability sampling based on the priority. In a control plane, a controller carries out collaborative modeling on the configuration of routing, sampling probability and degradation threshold as a nonlinear optimization problem with maximization of sampling utility as a target, and an efficient online primitive-dual interior point method is adopted for solving. According to the method, high visibility and load balancing are finally ensured, and meanwhile, the control and calculation overhead is remarkably reduced.

The invention discloses an efficient concurrent transmission method and device for cell data and a storage medium, and relates to the technical field of lithium batteries. The method comprises the following steps: acquiring inherent identity identification information and a factory performance parameter set of a lithium cell; performing correlation analysis and entropy evaluation on the performance parameter set, and dynamically selecting a differential compression strategy for compression according to the correlation analysis and entropy evaluation; performing lightweight encryption on the compressed data and the identity identification information to generate a data block with physical meaning; writing the data block into a special storage chip embedded in the lithium cell body; after an external access request is received, the current key state parameter of the battery cell is read from the special storage chip, and safety state evaluation and authority verification are carried out in combination with the current key state parameter and a certificate attached to the access request; and selectively activating the decryption of the corresponding ciphertext segment in the data block and the decompression reconstruction process based on the parameter correlation model according to the permission level passing the verification. And deep binding and credible traceability of the data and the physical entity are realized.

The invention proposes a path planning method for an unmanned aerial vehicle (UAV) based on a LoRa self-organizing network, and relates to the technical field of wireless communication networks. The method comprises: collecting environmental data around the emergency site through sensor nodes at the site, and using the LoRa self-organizing network to set a relay node for transmitting environmental data including position and time, and calculating the data transmission rate, time data and network transmission capacity data in the process of environmental data transmission according to the configuration parameters of the self-organizing network to establish a path planning mathematical model for the UAV, and solving to obtain an optimal path planning result; the invention establishes a path planning mathematical model for the UAV by establishing a LoRa self-organizing network and accurately calculating relevant data in the process of environmental data transmission, so as to quickly and accurately plan the optimal path, solve the problem of wireless communication for data transmission and path planning of relay UAVs, and realize the real-time collection, transmission, storage and management of environmental emergency information.

The invention discloses an ultra-wideband wireless ad hoc network construction method based on TDMA and DSDV and ad hoc network node equipment, and belongs to the field of wireless communication. The problems that an existing UWB ad hoc network is high in data transmission failure rate, and real-time communication is difficult to meet are solved. The method comprises the following steps: configuring network parameters; a communication period is divided into a synchronization frame, a routing frame and at least one data subframe, and communication time slots are distributed for nodes in a network based on a TDMA protocol; in the synchronization frame, a specified node broadcasts a synchronization packet containing a period starting point timestamp, and other nodes receive the synchronization packet and calibrate a local clock according to the synchronization packet; in the routing frame, each node broadcasts the DSDV routing table in the distributed time slot, and the neighbor node receives the DSDV routing table and updates the own routing table according to the serial number and the hop count; and in the data sub-frame, each node performs data transmission in the allocated time slot based on the updated routing table, and a verification mechanism is adopted to ensure the data integrity. The method is used in the high-speed stable data transmission field.

The present invention discloses a TDMA satellite communication system frame structure and resource allocation method, wherein the frame structure includes: a plurality of superframes; each superframe includes a plurality of frames; each frame includes N1 login time slots, N2 control time slots, N3 service time slots, and N4 idle time slots, wherein N1, N2, N3, and N4 are all integers ≥ 0. The resource allocation method includes dynamic adaptive adjustment of login time slots, dynamic allocation of control time slots, and allocation of service time slots. The present invention realizes further optimization of access capability and satellite resource utilization, and improves resource utilization.

This invention discloses an ultraviolet light communication cooperative networking method and system, specifically relating to the fields of free-space optical communication and cooperative networking communication technology. It includes steps such as transmitting a distance determination frame to announce the current node's location to the network and obtaining distance information between the current node and the source node; transmitting a neighbor broadcast frame to announce the IDs of neighbor nodes within one hop to the network and receiving neighbor broadcast frames from other nodes to generate a full network topology table; and dividing data transmission time slots into contention time slots and data time slots for channel contention. This invention allows multiple non-interfering transmission paths to coexist in the network, achieving spatial multiplexing and improving network throughput and flexibility.

This invention discloses a reinforcement learning-based routing optimization method considering dynamic underwater acoustic environments and node mobility. The method includes: initializing parameters for an underwater sensor network; real-time monitoring and updating underwater environmental parameters and node locations, dynamically updating the network topology connection state; during data transmission, constructing a multi-dimensional state vector and employing an ε-greedy strategy to select routing actions and generate routing decisions; if data packet transmission fails during routing actions, the current iteration ends; otherwise, multi-objective reward values ​​are calculated; updating the Q-value table optimizes routing decisions; real-time monitoring of network performance indicators and adaptively adjusting the agent's reinforcement learning parameters for the next iteration until the termination condition is met, outputting an adaptive routing selection model. This invention can intelligently address the challenges of time-varying channels and node mobility, significantly improving data delivery rates while achieving a multi-objective optimization balance between energy consumption, latency, and stability.

The invention provides an unmanned aerial vehicle path planning method based on a LoRa ad hoc network, and relates to the technical field of wireless communication networks, and the method comprises the steps: collecting environment data around a site through a sensing node of an emergency site, and employing the LoRa ad hoc network to set a relay node which comprises a position and time and is used for transmitting the environment data, calculating a data transmission rate, time data and network transmission capacity data in an environment data transmission process according to configuration parameters of the ad hoc network so as to establish a path planning mathematical model of the unmanned aerial vehicle, and solving to obtain an optimal path planning result; according to the method, the path planning mathematical model of the unmanned aerial vehicle is established by establishing the LoRa ad hoc network and accurately calculating related data in the environment data transmission process, so that the optimal path can be quickly and accurately planned, and the problems of wireless communication of data transmission and path planning of the relay unmanned aerial vehicle are solved; real-time acquisition, transmission, storage and management of environment emergency information are realized.

The application discloses a kind of main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination, the method includes: source node initiates routing request broadcast, and available path from source node to destination node is obtained by adaptive broadcast forwarding strategy;Afterwards, destination node carries out routing reply according to reverse path transmission;If the routing establishment from source node to destination node is successful, then enter the routing decision module based on Q learning algorithm;If the routing decision result selects main routing transmission strategy, then destination node enters trust degree evaluation module, interruption adaptive credible path or no credible path transmission module;If the routing decision result selects backup DTN (Delay Tolerant Networks, time delay tolerance network) routing transmission strategy or routing establishment is not successful, then destination node enters Prophet routing module;Through the main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination provided by the application example, the robustness and robustness of data transmission are improved.

The invention discloses an Internet of Vehicles resource slicing method based on Transform dual federated learning, and the method comprises the steps: abstracting physical resources of a base station into a virtual resource pool in an Internet of Vehicles system, and carrying out the management of a controller; and the controller adjusts slice resource allocation according to the terminal request information fed back by each base station. The controller is of a double-layer controller structure; the centralized controller of the cloud is integrated with a global model, and the global model comprises a global flow prediction model and a global resource slicing decision model; the centralized controller performs base station resource slicing through a global model; a local controller connected with an adjacent base station on the edge side is integrated with a local model, and the local model comprises a local flow prediction model, a slice window optimizer and a local resource slice decision model. The local controller makes a resource slicing decision through the local model; the slicing step comprises the following steps of: segmenting physical resources of each base station by adopting a window self-adaptive segmentation method; and optimizing a decision result through local model training and a double-federated model method.

This invention discloses a resource-optimized order execution system for high-frequency trading, comprising a signal receiving and parsing module, a decision and resource management engine, and an order instruction gateway. The system operates in a decision cycle of fixed duration T, maintaining a cycle number t that increments at the beginning of each cycle. The signal module starts in the t-th cycle, receiving and parsing the return rate and transaction probability prediction signals for that cycle. The decision unit judges the signals based on a preset threshold: if the return rate triggers a directional warning or there is a place to place an order that meets the probability threshold, it outputs an allow instruction signal; otherwise, it outputs a suppress instruction signal. When the resource scheduling unit receives the suppress signal, it immediately reallocates the resources of the order chain to the signal module. The order instruction gateway generates and sends a fixed number of orders only when it receives the allow signal; it disables the function when it receives the suppress signal. This system realizes dynamic optimization and collaborative scheduling of computing resources.

The invention relates to an abnormal access identification method and device for big data, and the method comprises the steps: obtaining first behavior data of a target user in a target time period from a work log of target equipment, and constructing a global data set; dividing addresses participating in interaction in the global data set into a plurality of target class clusters, and optimizing outlier detection parameters based on features of the target class clusters to obtain outlier detection parameters after first optimization; performing outlier detection on the global data set based on the outlier detection parameter after the first optimization to obtain an outlier, and determining to-be-detected effective data of the to-be-detected object according to the global data set, the outlier and a preset normal behavior database; optimizing the outlier detection parameter after the first optimization based on the effective data to be detected to obtain an outlier detection parameter after the second optimization; performing abnormal behavior identification on the to-be-detected effective data based on the outlier detection parameter after the second optimization to obtain an abnormal access identification result; and the abnormal access identification efficiency is improved.

The application belongs to the technical field of mobile communication, and specifically discloses a TDMA access method based on mixed fixed and dynamic time slots of multi-service, which comprises the following steps: based on time division multiple access (TDMA), a time frame is divided into three segments, i.e., a synchronous broadcast time slot segment, a fixed allocation time slot segment and a dynamic reservation time slot segment, and the three segments are cycled in a time frame period to obtain a time slot structure of a mixed TDMA multiple access protocol; based on the time slot structure, time slot allocation is performed; frame structures corresponding to three types of service data, i.e., periodic data, burst data and real-time voice data, are respectively constructed, service data frames are generated according to the frame structures corresponding to the service data, and the service data frames are configured in specified time slots in the fixed allocation time slot segment or the dynamic reservation time slot segment. Through the application, the requirements of small protocol control overhead, low time synchronization precision requirement, no priori parameter and high time slot utilization rate in a low-load network can be met in a multi-service complex environment.

The invention discloses a networking protocol design method cooperating with air computing in a high confrontation environment. The networking protocol design method mainly solves the problems that in the prior art, self-organizing network data transmission is poor in reliability, high in protocol complexity and large in control overhead. According to the implementation scheme, a networking protocol frame structure comprising a control time slot and a service time slot is designed, and the whole network topology is obtained in the control time slot; calculating the shortest path according to the whole network topology; calculating Y secondary short paths to be searched according to the shortest path, and selecting m paths with the same hop count from the Y paths as use paths; the source node searches for time slots outside a two-hop range for all nodes; according to the found time slots outside the two-hop range, the source node finds all available time slots for the relay node on the path according to the adjacent matrix of the node; and filling all available time slots of all relay nodes on the path into a data packet, and distributing the available time slots to the relay nodes. The method is high in reliability, low in protocol complexity and low in control overhead, and can be used for the MAC layer and the network layer of the self-organizing network of the unmanned system.

The invention discloses an Internet of Vehicles intra-cluster routing protocol based on clustering, and relates to the field of Internet of Vehicles, clustering technology and trust computing, and the protocol comprises the following steps: S1, establishing a cluster, periodically issuing cluster head information and cluster member information messages by a cluster head, selecting the cluster head by a cluster member, and joining the cluster; s2, the cluster member issues a cluster member message to the cluster head; s3, the cluster member receives the vehicle ID, the trust value, the position and the speed issued by other cluster members and forms a local node linked list, wherein the local node linked list comprises a node linked list Q and a node linked list P; and S4, the cluster member selects a next-hop communication node according to the local node linked list to form an intra-cluster route. The method combines a clustering technology, a trust mechanism and a routing protocol design process, and strives to realize more reliable and more efficient communication among vehicle nodes in clusters.