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基于数据驱动的光纤网络冗余节点状态调度方法 被引量:1

A data-driven state scheduling method for redundant nodes in optical fiber networks
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摘要 光纤网络节点冗余易导致网络覆盖面积重叠,为此,提出基于数据驱动的光纤网络冗余节点状态调度方法。基于数据驱动构建光纤网络节点覆盖模型,并分析节点的覆盖范围。然后计算覆盖区域的中心直线距离,鉴定节点的冗余覆盖。最后,根据节点传播信号搜索临近传输节点数量,并根据流量负荷参数完成节点调度。实验过程中,应用该方法后,网络平均带宽利用率在76.1%~95.8%之间,节点剩余能量逐步稳定在0.08 kJ上下,存活的节点至少有50个,均衡调度耗时最高为10 s,说明该方法可以在快速实现网络负载均衡的同时,有效延长节点寿命,减少节点重叠覆盖。 Redundancy of nodes in optical fiber networks tends to lead to overlapping of network coverage.Therefore,a data driven state scheduling method for redundant nodes in optical fiber networks is proposed.Based on data driven,the node coverage model of optical fiber network is constructed,and the coverage range of nodes is analyzed.Then calculate the center line distance of the coverage area,and identify the redundant coverage of nodes.Finally,the number of adjacent transmission nodes is searched according to the node propagation signal,and node scheduling is completed according to the traffic load parameters.In the experiment,after the application of this method,the average bandwidth utilization of the network is between 76.1%-95.8%,the residual energy of the nodes is gradually stabilized at 0.08 kJ,there are at least 50 surviving nodes,and the balancing scheduling time is up to 10 seconds,which shows that this method can effectively extend the node life and reduce node overlapping coverage while quickly achieving network load balancing.
作者 郭勤 曾辉 李慧玲 GUO Qin;ZENG Hui;LI Huiling(Information engineering college,Xinjiang Institute of Engineering,Urumqi 830023,China)
出处 《激光杂志》 CAS 北大核心 2023年第10期162-166,共5页 Laser Journal
基金 新疆维吾尔自治区自然科学基金面上项目(No.2021D01A67)。
关键词 数据驱动 光纤网络 节点冗余调度 网络均衡 多路径均衡调度 data driven optical fiber network node redundancy scheduling network equilibrium multi-path balanced scheduling
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