Data broadcasting methods, apparatus, computer equipment and storage media

By constructing a network topology diagram and iteratively optimizing the scheduling strategy, the problem of balancing high throughput, low latency, and low energy consumption in Ad Hoc networks was solved, achieving better data broadcasting results.

CN122093750APending Publication Date: 2026-05-26TSINGHUA UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In self-organizing Ad Hoc networks, achieving the lowest energy consumption while ensuring high throughput and low latency is a challenge, and existing technologies struggle to balance transmission latency and transmission energy.

Method used

By constructing a network topology graph, the initial scheduling strategy with the shortest latency is determined. The Monte Carlo search tree algorithm and power gradient search model are used to iteratively optimize the initial scheduling strategy to obtain the target scheduling strategy, which controls the nodes to use transmission power in the matched time slots.

Benefits of technology

It achieves maximum throughput while ensuring low latency and energy consumption, and obtains an approximate optimal solution for slotted power joint broadcast scheduling in Ad Hoc networks.

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Abstract

This application provides a data broadcasting method, apparatus, computer device, and storage medium. The method includes acquiring node information of multiple nodes in a current network; constructing a network topology graph corresponding to the current network based on the node information; wherein the network topology graph is used to represent the data broadcasting relationship between the multiple nodes; determining an initial scheduling strategy with the shortest latency corresponding to the current network based on the network topology graph; and iteratively optimizing the initial scheduling strategy based on a Monte Carlo search tree algorithm, a determined power gradient search model, and a power gradient search space to obtain a target scheduling strategy; wherein the target scheduling strategy includes the transmission power used by the nodes in the matched time slots; and controlling the multiple nodes to broadcast data according to the target scheduling strategy. By utilizing the target scheduling strategy for data broadcasting in this application, the maximum throughput can be achieved while minimizing latency and energy consumption.
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