计算机工程2026，Vol.52Issue(5)：3-42,40.DOI:10.19678/j.issn.1000-3428.0260004
传感云与边缘计算综述(特邀)
Survey on Sensor-Cloud and Edge Computing(Invited)
摘要
Abstract
To address the critical challenges of high latency,bandwidth constraints,and privacy vulnerabilities faced by traditional Sensor-Cloud(SC)systems in processing massive amounts of real-time sensing data,Edge Computing(EC)has emerged as a promising solution by extending computational and storage capabilities to the network periphery.This study provides a systematic survey of integration technologies and evolutionary paradigms of SC and EC.First,the evolutionary logic of the"Cloud-Edge-End"collaborative architecture is analyzed,and edge-based data preprocessing,redundancy elimination,and collaborative storage mechanisms are discussed.Second,intelligent resource optimization techniques are investigated by comparing the performance of traditional heuristic algorithms and Deep Reinforcement Learning(DRL)in dynamic task offloading and cross-layer resource scheduling.Furthermore,the application paradigms of Federated Learning(FL)and Edge Intelligence(EI)in privacy preservation and autonomous decision-making are analyzed,focusing on hierarchical model aggregation,lightweight model compression,and collaborative inference based on knowledge distillation.Additionally,by incorporating systems engineering practices,this study elucidates the implementation path for building efficient and scalable edge collaborative systems using Kubernetes container orchestration and Kafka messaging middleware.Finally,common challenges such as heterogeneous resource management and network dynamics are summarized,and future trends toward green computing,semantic communication,and integrated sensing-communication-computation are envisioned,providing theoretical references and engineering guidance for constructing next-generation efficient Internet-of-Things(IoT)sensing systems.关键词
传感云/边缘计算/"云-边-端"协同/边缘智能/联邦学习Key words
Sensor-Cloud(SC)/Edge Computing(EC)/"Cloud-Edge-End"collaboration/Edge Intelligence(EI)/Federated Learning(FL)分类
信息技术与安全科学引用本文复制引用
王田,李果,梅雅欣,钟文韬..传感云与边缘计算综述(特邀)[J].计算机工程,2026,52(5):3-42,40.基金项目
国家自然科学基金联合重点基金(U25A20436) （U25A20436）
国家自然科学基金(62372047) （62372047）
广西重点研发计划(FN2504240036,2025FN96441087) （FN2504240036,2025FN96441087）
广东省科技计划项目(2025B0101120006) （2025B0101120006）
广东省自然科学基金(2024A1515011323). （2024A1515011323）
