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Robust node localization for wireless sensor networks.

机译:无线传感器网络的可靠节点定位。

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摘要

Wireless Sensor Network (WSN) systems have been used in many promising applications including military surveillance, habitat monitoring and wildlife tracking. While many middleware services to support these applications have been designed and implemented successfully, node localization - finding the position of a sensor node - remains one of the most difficult research challenges to be solved.; In this dissertation we address the multidimensional requirements of the node localization problem in WSN by proposing problem specific, localization schemes and a run-time environment that allows the execution of a set of appropriate localization schemes. Our solutions are based on an asymmetric architecture in which the complexity associated with node localization is removed from sensor nodes and on realistic assumptions for targeted requirements.; First, we propose an event-based localization system, the first to achieve tens of centimeter accuracy, with virtually no additional hardware on sensor nodes, in a realistic, outdoor deployment. Elements of coding theory and the asymmetry in node localization architecture are used to develop new techniques for efficiently distributing events in the sensor network. Second, we propose the first localization scheme that, simultaneously, executes extremely fast (milliseconds to seconds) and achieves meter level accuracy. For this image-based, passive localization system we propose a constraint based label relaxation algorithm and four primitive and hybrid constraints. Third, we propose two localization schemes based on realistic assumptions for targeted environments: when the sensor nodes are deployed in a grid topology or manually. The schemes have good accuracy, have low overhead, are practical and outperform similar solutions in outdoor environments.; Finally, we propose multimodality as a new approach to providing robustness for node localization in WSN. We unify the aforementioned localization schemes in the first multi-phase, multi-protocol framework for node localization in WSN. This framework allows the composition and execution of an appropriate set of localization schemes, for a particular WSN deployment. The proposed localization schemes and the unifying framework enable us to build, for the first time, robust solutions to many realistic localization problems.
机译:无线传感器网络(WSN)系统已用于许多有希望的应用中,包括军事监视,栖息地监视和野生动植物追踪。尽管已经成功设计和实现了支持这些应用程序的许多中间件服务,但是节点本地化(找到传感器节点的位置)仍然是要解决的最困难的研究挑战之一。在本文中,我们通过提出特定于问题的定位方案和允许执行一组适当的定位方案的运行时环境,来解决WSN中节点定位问题的多维要求。我们的解决方案基于非对称架构,在该架构中,与节点定位相关的复杂性已从传感器节点中消除,并且基于针对目标需求的现实假设。首先,我们提出了一个基于事件的定位系统,该系统第一个达到了几十厘米的精度,并且在实际的室外部署中几乎没有传感器节点上的其他硬件。节点定位架构中的编码理论和不对称性元素用于开发新技术,以在传感器网络中有效地分布事件。其次,我们提出了第一种定位方案,该方案同时执行速度极快(毫秒到秒)并达到仪表级精度。对于此基于图像的被动定位系统,我们提出了一种基于约束的标签松弛算法以及四个原始约束和混合约束。第三,基于针对目标环境的实际假设,我们提出了两种定位方案:当传感器节点部署在网格拓扑中或手动部署时。该方案具有良好的准确性,具有较低的开销,是实用的,并且在室外环境中优于类似的解决方案。最后,我们提出多模态作为一种为WSN中的节点定位提供鲁棒性的新方法。我们在WSN的第一个多阶段,多协议框架中统一了上述定位方案。对于特定的WSN部署,此框架允许组合和执行一组适当的本地化方案。所提出的本地化方案和统一框架使我们能够首次为许多现实的本地化问题建立可靠的解决方案。

著录项

  • 作者

    Stoleru, Radu.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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