传感技术学报2025，Vol.38Issue(1)：82-87,6.DOI:10.3969/j.issn.1004-1699.2025.01.010
基于遗传算法的边缘光纤传感网动态资源调度策略
Dynamic Resource Scheduling Strategy of Edge Optical Fiber Sensor Network Based on Genetic Algorithm
摘要
Abstract
A distributed edge fiber sensing system(AOPS-WDM-DEFSS)scheme based on asynchronous optical packet switching and wavelength division multiplexing technology is proposed,which can support the switching and transmission requirements of massive,het-erogeneous,and burst sensing services in edge computing scenarios.Based on the service characteristics of the edge side of AOPS-WDM-DEFSS,a dynamic resource and task scheduling strategy for edge computing clusters using genetic algorithms is proposed.The dynamic resource scheduling cluster model and task model are established,and the three optimization objective functions of completion time(T),communication load(L)and usage cost(C)are defined,and the effects of task number(n),task relevance(REV),transmission processing speed ratio(RAT),and weights(α,β and γ)on the objective function are simulated.The results show that when n increases to 50,T,L and C increase to 15.11 s,641 MB and ￥443.2,respectively.When REV increases to 5,T and L increase to 20.1 s and 1 932 MB,respectively.When RAT increases to 25,T and L increase to 11.4 s and 1 724 MB,respectively.After α,β and γ reach 0.8 and 0.9,respectively,the normalized values of T,L and C tend to 1.关键词
光纤传感网/边缘计算/分布式/遗传算法/动态资源调度Key words
optical fiber sensor network/edge computing/distributed/genetic algorithms/dynamic resource scheduling分类
信息技术与安全科学引用本文复制引用
赵俊,谢岩,苏轩,朱彦霖,罗曦,严敏,甘战,侯云川,常嘉瑞..基于遗传算法的边缘光纤传感网动态资源调度策略[J].传感技术学报,2025,38(1):82-87,6.基金项目
航空科学基金项目(2019ZH069003) （2019ZH069003）
南京市科技计划项目(202202025) （202202025）
中国南方电网公司科技项目(010800KK52220001) （010800KK52220001）
