6results about How to "Reduce retransmission" patented technology

This disclosure provides a semantic communication method, apparatus, electronic device, and storage medium, relating to the field of computer technology, specifically semantic communication technology. The method is applied at a receiving end, and its specific implementation involves: receiving a semantic data packet sent by a sending end; extracting the semantic checksum contained in the semantic data packet to obtain a received semantic checksum; calculating the semantic distortion degree based on the received semantic checksum and the target semantic checksum to obtain retransmission indication information; and instructing the sending end to retransmit the semantic data packet based on the retransmission indication information. This disclosure's retransmission decision mechanism based on semantic checksum deviation not only improves the accuracy of data transmission but also optimizes communication efficiency.

The invention provides a low-voltage distribution line state supervision method and system based on dual-mode communication, belongs to the field of power line carrier communication, and solves the problems that the current combined communication scheme of the dual-mode communication and the low-voltage distribution line state supervision system is not perfect, and terminal information acquisition and management of a low-voltage transformer area still have the conditions of low receiving probability, more retransmission and even island terminals. The method comprises the following steps: acquiring reference phase information of a transformer side, and controlling a plurality of power distribution terminals to upload local voltage phase fragments in a preset supervision period; at an edge node, aligning the reference phase information with a local voltage phase fragment sent by each power distribution terminal, obtaining a phase difference of each power distribution terminal relative to the reference phase information by adopting least square estimation, and generating a phase correction table based on the phase difference; and automatically correcting the phase mark of each power distribution terminal based on the phase correction table, re-marshalling the in-phase broadcast or multicast domain, and re-allocating the communication time slot corresponding to the multicast domain.

This invention discloses a joint optimization method for topology routing based on deep reinforcement learning, belonging to the field of UAV communication networks and routing. Specifically, UAVs are deployed within the test airspace to serve M mobile users. The test airspace is then gridded, and users publish task requests within a time step. UAVs, acting as nodes, are randomly deployed on the grid. For each UAV node, a Markov decision process is modeled and solved using a multi-agent reinforcement learning algorithm to obtain the movement decision for the next time step. This Markov decision process is repeated to obtain the final movement path for each UAV. For each task request, the corresponding UAV calculates the multi-index link cost function of its neighboring nodes and selects the neighboring node with the lowest cost value as the next hop for task transmission until the target node is reached. This invention improves the data transmission efficiency and network stability of ad hoc flying networks in complex dynamic environments.

The application provides a low-voltage distribution line state supervision method and system based on dual-mode communication, and belongs to the field of power line carrier communication. The current combined communication scheme is not perfect, and the terminal information collection and management of low-voltage transformer areas still have problems such as low receiving probability, more retransmission, and even island terminal conditions. The above method comprises the following steps: obtaining reference phase information on the transformer side, controlling multiple distribution terminals to upload local voltage phase segments within a preset supervision period; at the edge node, aligning the reference phase information with the local voltage phase segments uploaded by each distribution terminal, using least square estimation to obtain the phase difference of each distribution terminal relative to the reference phase information, and generating a phase correction table based on the phase difference; automatically correcting the phase label of each distribution terminal based on the phase correction table, and reorganizing the in-phase broadcast or multicast domain, and reassigning the communication time slots corresponding to the multicast domain.

This invention provides a wireless communication and control method for smart meters, relating to the field of measurement value and control signal transmission technology. The method includes, on the smart meter side, encapsulating the measurement data to be transmitted to generate a service message, assigning the service message a monotonically increasing message sequence number and a sampling timestamp corresponding to the measurement data, and writing it into a transmission buffer. This wireless communication and control method for smart meters, by introducing a monotonically increasing message sequence number and sampling timestamp based on device and service type dimensions into the service message on the smart meter side, and combining this with the deduplication, reordering, and sliding window confirmation mechanism at the receiving end, achieves reliable transmission and orderly output of measurement data even in the event of packet loss, out-of-order delivery, and latency jitter in the wireless link. This avoids the impact of data duplication, out-of-order delivery, or missing data on the accuracy of service processing, and improves the reliability and data consistency of wireless communication.

The present application relates to the technical field of data processing, and especially relates to a power consumption monitoring method and system of an intelligent warning device based on the Internet of Things, wherein the method obtains a static basic reporting period according to signal quality of a region where a target vehicle monitored by the intelligent warning device is located at a current time and a minimum average reporting period allowed by the intelligent warning device; the static basic reporting period and a preset retransmission number are adaptively adjusted according to signal quality of a communication link of the intelligent warning device, network congestion, a time when the target vehicle fails, acceleration of the target vehicle, and data of various state monitoring indexes of the intelligent warning device at the current time, so as to obtain an adaptive reporting period and an adaptive retransmission number, and then complete next power consumption data reporting, thereby improving accuracy of power consumption monitoring of the intelligent warning device while ensuring working power and data timeliness of the intelligent warning device.