8results 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 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.

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 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.

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.