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On network connectivity of wireless sensor networks for sandstorm monitoring

机译：用于沙尘暴监测的无线传感器网络的网络连接性

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摘要

As serious natural disasters, sandstorms have caused massive damages to the natural environment, national economy, and human health in the Middle East, Northern Africa, and Northern China. To avoid such damages, wireless sensor networks (WSNs) can be deployed in the regions where sandstorms generally originate so that sensor nodes can col-laboratively monitor the origin and development of sandstorms. Despite the potential advantages, the deployment of WSNs in the vicinity of sandstorms faces many unique chal?lenges, such as the temporally buried sensors and increased path loss during sandstorms. Consequently, the WSNs may experience frequent disconnections during the sandstorms. In this paper, the connectivity issue of WSNs for sandstorm monitoring is studied. First, four types of channels a sensor can utilize during sandstorms are analyzed, which include air-to-air channel, air-to-sand channel, sand-to-air channel, and sand-to-sand channel. Based on these analytical results, the percolation-based connectivity analysis is performed. It is shown that if the sensors are buried in shallow depth, allowing sensor to use multiple types of channels improves network connectivity. Accordingly, much smaller sensor den?sity is required compared to the case, where only terrestrial air channels are used. Through this connectivity analysis, a WSN architecture can be established for efficient and effective sandstorm monitoring.
机译：作为严重的自然灾害，沙尘暴对中东，北非和中国北方的自然环境，国民经济和人类健康造成了巨大破坏。为了避免此类损害，可以在沙尘暴通常发源的区域中部署无线传感器网络（WSN），以便传感器节点可以协同监控沙尘暴的起源和发展。尽管具有潜在的优势，但在沙尘暴附近部署WSN仍然面临许多独特的挑战，例如暂时埋藏的传感器以及沙尘暴期间路径损耗的增加。因此，在沙尘暴期间，WSN可能会频繁断开连接。本文研究了用于沙尘暴监测的无线传感器网络的连通性问题。首先，分析了传感器在沙尘暴期间可以利用的四种类型的通道，包括空对空通道，空对沙通道，沙对空通道和沙对砂通道。基于这些分析结果，执行基于渗滤的连通性分析。结果表明，如果传感器埋在较浅的深度，则允许传感器使用多种类型的通道可以改善网络连接。因此，与仅使用地面空气通道的情况相比，所需的传感器密度要小得多。通过此连通性分析，可以建立WSN体系结构以进行有效的沙尘暴监视。

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  • 来源
    《Computer networks》 |2011年第5期|p.1150-1157|共8页
  • 作者

    Pu Wang; Zhi Sun; Mehmet C. Vuran; Mznah A. Al-Rodhaan; Abdullah M. Al-Dhelaan; Ian F. Akyildiz;

  • 作者单位

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States;

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States;

    Cyber-Physical Networking Laboratory, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States;

    College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;

    College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wsns; channel models; network connectivity; sandstorm monitoring;

    机译：wsns;渠道模型;网络连通性;沙尘暴监测;

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