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The Research of Hierarchical Data Fusion Based on Three-tiers Wireless Sensor Networks for Urban Real Time Traffic Information Monitoring

机译:基于三层无线传感器网络的分层数据融合研究对城市实时交通信息监控的分层数据融合

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Data fusion is considered an effective technique to eliminate redundant information to save energy and other resources in wireless sensor networks (WSNs). This paper focuses on data fusion technique based on three-tiers WSNs for the urban real time traffic information monitoring. Firstly, we describe the system architecture, analyze urban real time traffic information and the data delivery flow. Subsequently, a hierarchical data fusion structure based on the three-tiers WSNs is presented, which consists of sensing fusion, gathering fusion and application fusion. Moreover, the flow of data fusion in different tier is studied detailedly. Lastly, the performance analysis has been carried out with network simulation between with our data fusion approach and without any data fusion technique. The result show that data fusion can improve the system performance effectively.
机译:数据融合被认为是消除冗余信息以节省无线传感器网络(WSN)中的能量和其他资源的有效技术。本文侧重于基于三层WSN的数据融合技术,为城市实时交通信息监控。首先,我们描述了系统架构,分析了城市实时交通信息和数据传递流程。随后,提出了一种基于三层WSN的分层数据融合结构,由感应融合,收集融合和应用融合组成。此外,详细研究了不同层中的数据融合流程。最后,在我们的数据融合方法和没有任何数据融合技术之间的网络模拟中进行了性能分析。结果表明,数据融合可以有效地提高系统性能。

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