A Quantitative Robustness Evaluation Model for Optical Fiber Sensor Networks
A Quantitative Robustness Evaluation Model for Optical Fiber Sensor Networks
复制标题
DOI：
10.1109/jlt.2013.2246769
复制
发表时间：
2013-04
影响因子：
4.7
通讯作者：
Hongxia Zhang;Shu Wang;Yuhan Gong;Tiegen Liu;Tianhua Xu;Dagong Jia;Yimo Zhang
中科院分区：
文献类型：
--
作者：
Hongxia Zhang;Shu Wang;Yuhan Gong;Tiegen Liu;Tianhua Xu;Dagong Jia;Yimo Zhang
光纤传感器网络（OFSNs）面临着缺乏系统的评估标准来评估网络性能的问题。提出了一种通用的OFSN鲁棒性定量评估模型。该模型将鲁棒性定义为监测覆盖率的数学期望，它考虑了所有可能的网络状态下的性能和每个状态的概率。将该模型应用于线、环、星星和总线四种基本网络拓扑，通过对所有可能状态的详细分析，推导出了它们鲁棒性的数学表达式。进一步的仿真给出了这些拓扑结构之间的定量比较，证明了环形和星星拓扑结构是最佳的带状和方形区域的监测，分别。最后，两个影响因素，衰减系数和阈值，研究其对网络的鲁棒性的影响。
Optical fiber sensor networks (OFSNs) are facing the problem of a lack of systematic evaluation criteria to assess network performance. In this paper, a universal quantitative robustness evaluation model for OFSNs is proposed. The model defines robustness as the mathematical expectation of the monitoring coverage ratio, which has taken into account the performance under all possible network states and the probability of each state. This model is applied to four basic network topologies including line, ring, star and bus topologies, and their mathematical expressions of robustness are derived by analyzing all possible states in detail. Further simulation gives a quantitative comparison among these topologies, proving that the ring and star topologies are optimal for the monitoring of strip-shaped and square regions, respectively. Finally, two influencing factors, the attenuation coefficient and the threshold, are investigated for their impact on the robustness of the network.