摘要
采用目前方法获取光纤布拉格光栅传感器网络映射结果时,存在映射效果较差的问题。为此,提出了光纤布拉格光栅传感器网络映射算法研究的方法。首先对光纤布拉格光栅传感器的传感原理进行分析,并以分析结果为基础,建立基于BP神经网络的网络映射问题模型。通过对该模型内的节点综合能力和影响因子进行分析,获取有利于光纤布拉格光栅传感器测量性能的优化结果。将两组传感器优化结果分别代入虚拟网络映射模型中,利用模型的节点可靠感知性原理,实现光纤布拉格光栅传感器网络映射。实验结果表明,所提方法在小规模场景下的通信请求率和平均计算请求率分别为87%和16%,在大规模条件下的平均通信请求率和平均计算请求率分别为91%和9%,表明所提方法的网络映射效果较好。
When using the current method to obtain the mapping results of fiber Bragg grating sensor network,there is a problem of poor mapping effect.Therefore,the research method of fiber Bragg grating sensor network map-ping algorithm is proposed.Firstly,the sensing principle of fiber Bragg grating sensor is analyzed,and based on the a-nalysis results,the network mapping problem model based on BP neural network is established.By analyzing the com-prehensive ability and influencing factors of nodes in the model,the optimization results conducive to the measurement performance of fiber Bragg grating sensor are obtained.The two groups of sensor optimization results are substituted in-to the virtual network mapping model,and the fiber Bragg grating sensor network mapping is realized by using the prin-ciple of node reliable perception of the model.The experimental results show that the communication request rate and average calculation request rate of the proposed method in small-scale scenarios are 87%and 16%respectively,and the average communication request rate and average calculation request rate in large-scale conditions are 91%and 9%respectively,indicating that the network mapping effect of the proposed method is good.
作者
李洪刚
杜庆东
李付学
LI Honggang;DU Qingdong;LI Fuxue(Yingkou Institute Of Technology,Yingkou 115000,China;Shenyang Normal University,Shenyang 110136,China)
出处
《激光杂志》
CAS
北大核心
2023年第5期96-101,共6页
Laser Journal
基金
国家自然科学基金资助项目(No.31170380)
营口理工学院校级重点课题(No.ZDL2020001)
营口理工学院高层次人才研究项目(No.YJRC 202026)
辽宁省自然科学基金区域联合基金(No.2021-YKLH-12)
国家社会科学基金艺术学重大项目(No.18ZD23)
辽宁省博士启动基金项目(No.2020-BS-288)
辽宁省教育厅青年项目(No.LJKQZ2021184)。
关键词
光纤布拉格光栅
传感器网络
线性光波
映射请求
网络映射算法
fiber bragg grating
sensor networks
linear light waves
mapping request
network mapping algo-rithm
