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Accessing Geospatial Services in Limited Bandwidth Service-Oriented Architecture (SOA) Environments.

机译:在有限带宽的面向服务的体系结构(SOA)环境中访问地理空间服务。

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摘要

First responders are continuously moving at an incident site and this movement requires them to access Service-Oriented Architecture services, such as a Web Map Service, via mobile wireless networks. First responders from inside a building often have problems in communicating to devices outside that building due to propagation obstacles. Dynamic user geometry and the propagation conditions of communicating from inside buildings to transceivers on the outside are difficult to model reliably in network planning software. Thus, leading commercial network simulation software and open source network simulator software do not model wireless links between transceivers inside and outside of buildings; new modeling software is needed.;The discrete simulation runs in this investigation were built on events in a scenario that is typical of first-responder activities at an incident site. This scenario defined the geometry and node characteristics that were used in a mobile wireless network simulation to calculate expected connectivity based on propagation modeling, transceiver characteristics, and the environment.;The author implemented in software a propagation model from the United States National Institute of Standards and Technology (NIST) to simulate radio wave propagation path loss during the scenario. Modifications to the NIST model propagation path loss method were generated to improve consistency in results calculated with the same node separation distances and radio wave obstacle environments. The final set of modifications made the NIST model more generalized by using more building material characteristics than the original version. The modifications in this study to the path loss model from NIST engineers were grounded on ad hoc network connectivity data collected at the operational scenario site. After changes in the NIST model were validated, 1,265 operational simulation runs were conducted with different numbers of deployed nodes in an operational incident-response scenario. Data were reduced and analyzed to compare measures of mobile ad hoc network effectiveness.;Findings in this investigation resulted in two specific contributions to the body of knowledge in mobile wireless network design. First, data analysis indicated that specific changes to a recent path loss model from NIST produced results that were more generalized than the original model with respect to accommodating different building materials and enhancing the consistency of simulation results. Second, the results from the modified path loss model revealed an operational impact in using relay nodes to support public safety. Specifically, placing relay nodes at the entrance to a building and on odd-numbered floors improved connectivity in terms of first responders' accessing Web Services via mobile network devices, when moving through a building in an incident scenario.
机译:急救人员在事件现场不断移动,这种移动要求他们通过移动无线网络访问面向服务的体系结构服务,例如Web Map Service。由于传播障碍,来自建筑物内部的第一响应者通常在与建筑物外部的设备通信时遇到问题。从网络内部建筑物到外部收发器的动态用户几何形状和传播条件很难在网络规划软件中可靠地建模。因此,领先的商业网络仿真软件和开放源代码网络仿真器软件无法对建筑物内外收发器之间的无线链路进行建模。需要新的建模软件。;本次调查中的离散模拟是基于事件现场发生的事件中典型事件的场景构建的。该方案定义了几何和节点特性,这些特性在移动无线网络仿真中用于基于传播模型,收发器特性和环境来计算预期的连通性。作者在软件中实现了美国国家标准研究院的传播模型和技术(NIST)来模拟场景中的无线电波传播路径损耗。对NIST模型传播路径损耗方法进行了修改,以提高在相同节点间隔距离和无线电波障碍环境下计算结果的一致性。最终的修改集通过使用比原始版本更多的建筑材料特性,使NIST模型更加通用。 NIST工程师在本研究中对路径损耗模型的修改基于在操作场景站点收集的临时网络连接数据。在验证了NIST模型的更改之后,在操作事件响应场景中,使用不同数量的已部署节点进行了1,265个操作模拟运行。减少了数据并进行了分析,以比较移动ad hoc网络有效性的度量标准。该调查的结果对移动无线网络设计中的知识体系产生了两个具体贡献。首先,数据分析表明,NIST对最近路径损耗模型的特定更改所产生的结果在适应不同建筑材料和增强模拟结果的一致性方面,比原始模型更具普遍性。其次,修改后的路径损耗模型的结果显示了使用中继节点支持公共安全的运营影响。具体而言,在事件场景中穿越建筑物时,将第一响应者放置在建筑物的入口处和奇数层的楼层上,可以提高第一响应者通过移动网络设备访问Web服务的连通性。

著录项

  • 作者

    Boggs, James D.;

  • 作者单位

    Nova Southeastern University.;

  • 授予单位 Nova Southeastern University.;
  • 学科 Information Technology.;Information Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 230 p.
  • 总页数 230
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:40:49

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