| 引用本文: | 郭浩,潘仲明,周靖.无线传感器网络信息质量评估的柔性框架.[J].国防科技大学学报,2016,38(1):150-155.[点击复制] |
| GUO Hao,PAN Zhongming,ZHOU Jing.Flexible estimation framework for quality of information in wireless sensor network[J].Journal of National University of Defense Technology,2016,38(1):150-155[点击复制] |
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| 无线传感器网络信息质量评估的柔性框架 |
| 郭浩, 潘仲明, 周靖 |
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(国防科技大学 机电工程与自动化学院， 湖南 长沙 410073)
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| 摘要: |
| 为建立完整统一的无线传感器网络信息质量评估体系，提出可灵活剪裁的柔性框架来动态地评估无线传感器网络应用中信息的准确性和时效性。该框架基于信息融合理论和时间刻度标记技术，在sink节点聚合网络中所有传感器节点的信息。将信息融合结果近似为真值，利用观测信息与融合结果的数值或语义差异分别评估测量数据和决策信息的准确性。根据信息获取的截止期限和延迟敏感性，分三类描述和建模信息时效性，并通过轻量级的信息获取时间测量法量化。采用滑动窗口机制和增量计算方法，动态地更新评估结果。通过仿真三个目标监测应用场景的信息时效性评估和两个环境监测应用场景的信息准确性评估验证了框架的有效性。仿真结果与信息质量参考基准吻合，表明该框架能够灵活地评估不同无线传感器网络应用中信息的准确性和时效性。 |
| 关键词: 无线传感器网络 信息质量评估 准确性 时效性 柔性框架 |
| DOI：10.11887/j.cn.201601024 |
| 投稿日期：2015-04-14 |
| 基金项目:国家自然科学基金资助项目（61374008，91320202） |
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| Flexible estimation framework for quality of information in wireless sensor network |
| GUO Hao, PAN Zhongming, ZHOU Jing |
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(College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In order to establish an integrated estimation system for quality of information in WSN (wireless sensor network), a flexible tailorable framework was proposed to dynamically estimate information accuracy and information timeliness in different WSN applications. The framework aggregates all information of the sensor nodes at the sink node on the basis of information fusion theory and timescale marking technique. Through approximating the fusion result to ground truth, the accuracy of measurement data and decision information was quantified by utilizing the numerical/nominal difference between the observed information and the fusion result, respectively. According to application deadline and delay sensitivity of information acquisition, timeliness was classified as three categories for characterization and representation, and quantified through the lightweight measurement of the information acquisition time. The estimation results along the time are dynamically updated by adopting a sliding window mechanism and an incremental calculation algorithm. The effectiveness of the framework was validated by simulations, including timeliness estimation in three target surveillance application scenarios and accuracy estimation in two environmental monitoring application scenarios. Simulation results match with the reference criteria, which demonstrates that the framework can be flexibly tailored to estimate information accuracy and information timeliness in different WSN applications. |
| Keywords: wireless sensor network estimation of information quality accuracy timeliness flexible framework |
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