移动通信2025，Vol.49Issue(5)：44-48,5.DOI:10.3969/j.issn.1006-1010.20250115-0006
基于动态网络感知的OTN网络数据压缩算法研究
Dynamic Network-Aware Data Compression for Optical Transport Networks
摘要
Abstract
To address the increasing bandwidth pressure on optical transport networks driven by the rapid development of the industrial internet,5G,and the Internet of Things,this paper proposes a data compression algorithm based on dynamic network state awareness.The algorithm integrates differentiated encoding,timestamp optimization,and dynamic adjustment using high efficiency video coding to achieve adaptive compression.Simulations under industrial communication scenarios using both time-series and high-definition video data show that the proposed method achieves compression rates of 62%for sequential data and 82%for video data.The approach ensures high data fidelity and low latency,effectively improving bandwidth utilization and transmission efficiency while reducing operational costs.This method holds significant potential for network optimization in related domains,and future work will focus on enhancing computational efficiency and extending the applicability to broader scenarios.关键词
光传输网络/数据压缩算法/动态网络感知Key words
optical transport network(OTN)/data compression algorithm/dynamic network awareness分类
信息技术与安全科学引用本文复制引用
吕丽娟,封东飞,张驰,房嘉诚,江晖,张泽乾,李招明,朱明强,郝永宏..基于动态网络感知的OTN网络数据压缩算法研究[J].移动通信,2025,49(5):44-48,5.基金项目
河北冀翔通电子科技有限公司科技项目"基于OTN集中交叉和波分复用技术的高速公路光纤传输网路优化研究"(100115-07-2024-0023) （100115-07-2024-0023）
中央高校基本科研项目"算力网络场景下的智能任务卸载研究"(2024YJS122) （2024YJS122）
国家重点研发计划"支持软件定义的多模态网络核心设备研制与验证"(2023YFB2904200) （2023YFB2904200）
