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SEAL: Self-adaptive AUV-based localization for sparsely deployed Underwater Sensor Networks

机译:SEAL:稀疏部署的水下传感器网络的自适应基于AUV的本地化

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摘要

In this paper, we propose a Self-adaptive AUV-based Localization (SEAL) scheme, which is specifically designed to provide network-wide localization service to sensor nodes in sparsely deployed Underwater Sensor Networks (UWSN) using a high-speed Autonomous Underwater Vehicle (AUV). Even though the sparse nature of node deployment in UWSN is cost-effective, it creates a new challenge for the existing UWSN localization schemes. Moreover, due to the effect of passive node mobility owing to oceanic waves and currents, the network topology experiences partitioning. In such a sparse deployment scenario, the existing static anchor-based schemes of node localization exhibit low localization coverage, high localization error, and high message overhead. On the contrary, mobile anchor-based schemes are able to maintain low message overhead. However, these schemes achieve low localization coverage only or result in higher average energy consumption. In SEAL, we excogitate a simple and self-adaptive scheme, which empowers the AUV to select deployment-aware transmission range and maintain energy-efficiency. Simulations in NS-3 indicate that SEAL achieves significantly improved localization coverage while maintaining the energy-efficiency of the AUV when compared to the schemes from the existing literature that were considered as benchmarks in this study.
机译:在本文中,我们提出了一种基于自适应AUV的本地化(SEAL)方案,该方案专门用于为使用高速自动水下航行器的稀疏部署的水下传感器网络(UWSN)中的传感器节点提供全网络的本地化服务。 (AUV)。尽管UWSN中节点部署的稀疏性具有成本效益,但它给现有的UWSN本地化方案带来了新的挑战。此外,由于海浪和洋流引起的被动节点移动性的影响,网络拓扑会经历分区。在这种稀疏的部署方案中,现有的基于静态锚点的静态静态节点定位方案表现出较低的本地化覆盖率,较高的本地化错误和较高的消息开销。相反,基于移动锚的方案能够保持较低的消息开销。但是,这些方案仅实现较低的本地化覆盖范围或导致较高的平均能耗。在SEAL中,我们提出了一个简单且自适应的方案,该方案使AUV能够选择可感知部署的传输范围并保持能效。 NS-3中的仿真表明,与现有文献中被视为基准研究的方案相比,SEAL在保持AUV的能量效率的同时,显着提高了本地化覆盖率。

著录项

  • 来源
    《Computer Communications》 |2020年第3期|204-215|共12页
  • 作者

  • 作者单位

    Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur 721302 W Bengal India;

    Univ Sharjah Coll Comp & Informat Sharjah U Arab Emirates|Univ Jordan KASIT Amman Jordan|Univ Sci & Technol Beijing Beijing Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AUV-based localization; Underwater Sensor Networks; Self-adaptation; Node mobility; Sparse deployment;

    机译:基于AUV的本地化;水下传感器网络;自我适应;节点移动性;稀疏部署;

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