集成技术2026，Vol.15Issue(5)：212-230,19.DOI:10.12146/j.issn.2095-3135.20260508001
WiFi感知的可信协同:挑战、方法与展望
Trustworthy Collaboration for WiFi Sensing:Challenges,Methods,and Future Perspectives
摘要
Abstract
WiFi sensing technology leverages environmental and activity information embedded in wireless channel states to achieve understanding of human activities and surroundings,and has been researched and applied in domains such as smart homes,medical rehabilitation,and security surveillance.However,the sensing paradigm based on single-link,single-device,and single-scenario configurations can no longer meet the diverse requirements of real-world deployments,driving research toward collaborative sensing and trustworthy deployment.This paper systematically reviews research progress in the WiFi sensing field from two dimensions:collaboration and trustworthiness.In the collaboration dimension,4 paradigms are summarized—spatial collaboration,computational collaboration,learning collaboration,and modality collaboration—with analysis of the driving motivations,core methodologies,and capability boundaries of each paradigm.In the trustworthiness dimension,research advances are reviewed across 3 levels:data trustworthiness,model trustworthiness,and security trustworthiness,covering aspects such as data quality control,model robustness enhancement,security attack-defense mechanisms,and fault tolerance design.Based on the above analysis,a unified framework for trustworthy collaborative WiFi sensing is proposed,and future research directions are outlined from the perspectives of integrating physical mechanisms,trustworthy model deployment,privacy-security and collaborative optimization mechanisms,and long-term reliability,providing references for the practical deployment and trustworthy development of WiFi sensing technology.关键词
WiFi感知/信道状态信息/数据质量/协同感知/可信感知Key words
WiFi sensing/channel state information/data quality/collaborative sensing/trustworthy sensing分类
信息技术与安全科学引用本文复制引用
周阳,黄晓霞..WiFi感知的可信协同:挑战、方法与展望[J].集成技术,2026,15(5):212-230,19.基金项目
国家自然科学基金项目(62271515) This work is supported by National Natural Science Foundation of China(62271515) （62271515）
