移动通信2025，Vol.49Issue(5)：8-13,56,7.DOI:10.3969/j.issn.1006-1010.20250407-0001
系统熵减的工业网络智简传输及组织方法
Entropy-Reducing Intelligent Transmission and Organization for Industrial Networks
摘要
Abstract
With the increasing number of access devices and the surge in data traffic,industrial networks are evolving into high-entropy systems characterized by large-scale data and wide spatial distribution.Improving information transmission efficiency and optimizing network organization have become critical challenges.This work proposes entropy-reducing strategies for intelligent and simplified communication and network organization from both data and network perspectives.At the data level,a semantic-aware intelligent encoding and transmission method is developed based on task-oriented feature modeling,significantly enhancing end-to-end transmission performance.At the network level,a heuristic access point sleeping algorithm is introduced,inspired by network entropy and renormalization group operations,which improves energy efficiency while maintaining coverage.These methods provide a promising direction for the intelligent and lightweight evolution of future industrial networks.关键词
系统熵/语义通信/智能通信/工业互联网Key words
system entropy/semantic communication/intelligent communication/industrial internet分类
电子信息工程引用本文复制引用
姚圣时,王思贤,熊小雄,牛凯..系统熵减的工业网络智简传输及组织方法[J].移动通信,2025,49(5):8-13,56,7.基金项目
国家自然科学基金"基于开放自动化架构的制造流程柔性构造理论方法与技术集成演示验证"(9246730007) （9246730007）
国家自然科学基金"面向未来无线通信的高性能极化编码理论与方法"(62471054) （62471054）
