首页> 外文学位 >Localize Earthquake Detection Through Low-cost Wireless Ad-Hoc Network.
【24h】

Localize Earthquake Detection Through Low-cost Wireless Ad-Hoc Network.

机译:通过低成本无线Ad-Hoc网络本地化地震检测。

获取原文
获取原文并翻译 | 示例

摘要

Seismic activities can cause significant damages to infrastructures and human lives. An early earthquake alert system (EWW) could help save our lives and protect properties. Constructing a reliable and affordable earthquake detection and alert system is a challenging job. Seismic activities do not have any specific statistical patterns that we can observe and study over the time but we only have a couple seconds to detect and trigger alert. Traditionally, earthquake can be detected by either one big seismic station or a set of intermediate size seismic observation units, which are often costly and hard to scale. Researchers in the seismic community have presented new EEW system that can detect earthquake with a lower budget by using crowdsources. However, the performance of the system is relied on the internet of its deployment area, which could be interrupted in big earthquakes. In this paper, we are proposing a hybrid decentralized EEW architecture in which the earthquake detection process is taken off the cloud. Seismic activities are observed and analyzed locally by each seismic node to reduce the impact of infrastructure failure during the earthquake. The capacity of seismic node is empowered by a forest-based network and forest-based dissemination scheme. The new network structure allows low quality electric devices to collaborate with each other to accomplish their earthquake detection and early alert mission.
机译:地震活动会严重破坏基础设施和人类生活。早期的地震预警系统(EWW)可以帮助挽救我们的生命并保护财产。构建可靠且价格合理的地震检测和警报系统是一项艰巨的任务。地震活动并没有我们可以观察和研究的特定统计模式,但是我们只有几秒钟的时间来检测和触发警报。传统上,可以通过一个大型地震台站或一组中等规模的地震观测单元来检测地震,这通常是昂贵且难以扩展的。地震界的研究人员提出了一种新的EEW系统,该系统可以通过使用众包资源以较低的预算检测地震。但是,该系统的性能取决于其部署区域的互联网,在大地震中可能会中断该网络。在本文中,我们提出了一种混合分散式EEW体系结构,其中将地震检测过程从云端转移了出去。每个地震节点都在本地观察和分析地震活动,以减少地震期间基础设施故障的影响。基于森林的网络和基于森林的传播方案可增强地震节点的能力。新的网络结构允许低质量的电气设备相互协作以完成其地震检测和预警任务。

著录项

  • 作者

    Nguyen, Phu Huu.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Computer science.
  • 学位 M.S.
  • 年度 2015
  • 页码 63 p.
  • 总页数 63
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号