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The integration, analysis and visualization of sensor data from dispersed wireless sensor network systems using the SWE framework

机译:使用SWE框架对来自分散的无线传感器网络系统的传感器数据进行集成,分析和可视化

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摘要

Wireless Sensor Networks (WSNs) have been used in numerous applications to remotely gather real-time data on important environmental parameters. There are several projects where WSNs are deployed in different locations and operate independently. Each deployment has its own models, encodings, and services for sensor data, and are integrated with different types of visualization/analysis tools based on individual project requirements. This makes it difficult to reuse these services for other WSN applications. A user/system is impeded by having to learn the models, encodings, and services of each system, and also must integrate/interoperate data from different data sources. Sensor Web Enablement (SWE) provides a set of standards (web service interfaces and data encoding/model specifications) to make sensor data publicly available on the web. This paper describes how the SWE framework can be extended to integrate disparate WSN systems and to support standardized access to sensor data. The proposed system also introduces a web-based data visualization and statistical analysis service for data stored in the Sensor Observation Service (SOS) by integrating open source technologies. A performance analysis is presented to show that the additional features have minimal impact on the system. Also some lessons learned through implementing SWE are discussed.
机译:无线传感器网络(WSN)已用于众多应用中,以远程收集有关重要环境参数的实时数据。在多个项目中,无线传感器网络都部署在不同的位置并独立运行。每个部署都有自己的传感器数据模型,编码和服务,并根据单个项目要求与不同类型的可视化/分析工具集成。这使得很难将这些服务重用于其他WSN应用程序。用户/系统因必须学习每个系统的模型,编码和服务而受到阻碍,并且还必须集成/互操作来自不同数据源的数据。传感器Web支持(SWE)提供了一组标准(Web服务接口和数据编码/模型规范),以使传感器数据在Web上公开可用。本文介绍了如何扩展SWE框架以集成不同的WSN系统并支持对传感器数据的标准化访问。拟议的系统还通过集成开源技术为存储在传感器观测服务(SOS)中的数据引入了基于Web的数据可视化和统计分析服务。进行了性能分析,表明附加功能对系统的影响最小。还讨论了通过实施SWE获得的一些经验教训。

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