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A Scheme for Delay-Sensitive Spatiotemporal Routing in SDN-Enabled Underwater Acoustic Sensor Networks

机译:启用S​​DN的水下声传感器网络中的时延敏感时空路由方案

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摘要

In underwater acoustic sensor networks (UASNs), the sensors are deployed at different areas of the ocean, which perform information collection and delay-sensitive routing to the data center for further processing or industrial computing. However, inUASNs, the network states have spatiotemporal characteristics due to tides or autonomous underwater vehicles. To steadily route the traffic especially when the spatiotemporal characteristics of the UASNs are considered, a network architecture with intelligent traffic engineering or routing policies is indispensable. In this paper, we employ software-defined networking (SDN) technology and propose an SDN-enabled distributed architecture for UASNs. Based on the proposed architecture, we propose a scheme DSR-SDN for delay-sensitive spatiotemporal routing in SDN-enabled UASNs. The DSR-SDN includes three phases: First, topology awareness; second, spatiotemporal characteristics estimation; and third, routing computation. Particularly, with SDN features, DSR-SDN provides topology awareness based on a proposed software-defined beaconing scheme. Based on the detected topology, the spatiotemporal characteristics of the network states are estimated based on a proposed SDN-based hierarchical node localizing approach SDN-HL. Lead by the SDN controllers, SDN-HL makes use of the proposed "minimum weighted gap" formulation and Adam algorithm to optimize the localization and builds the indirect links to increase the localization rate. To route the traffic through the network with spatiotemporal characteristics, we adopt the time-expanded network approach, based on which a spatiotemporal routedecisioncanbemadebefore the routing starts. The simulation results demonstrate that the proposed scheme, i.e., DSR-SDN, can conduct accurate spatiotemporal characteristic estimation for the network states and provide delay-sensitive spatiotemporal routing for the sensed data.
机译:在水下声传感器网络(UASN)中,传感器部署在海洋的不同区域,它们执行信息收集和对延迟敏感的路由到数据中心,以进行进一步处理或工业计算。但是,在UASN中,由于潮汐或自动水下航行器,网络状态具有时空特性。为了稳定地路由流量,尤其是在考虑UASN的时空特性时,具有智能流量工程或路由策略的网络体系结构必不可少。在本文中,我们采用软件定义网络(SDN)技术,并为UASN提出了一种支持SDN的分布式体系结构。基于所提出的体系结构,我们提出了一种在支持SDN的UASN中用于时延敏感的时空路由的DSR-SDN方案。 DSR-SDN包括三个阶段:第一,拓扑感知;第二,拓扑感知。第二,时空特征估计;第三,路由计算。特别是,借助SDN功能,DSR-SDN可基于提出的软件定义信标方案提供拓扑意识。基于检测到的拓扑,基于提出的基于SDN的分层节点定位方法SDN-HL估计网络状态的时空特性。在SDN控制器的带领下,SDN-HL利用提议的“最小加权间隙”公式和Adam算法来优化定位,并建立间接链接以提高定位率。为了通过具有时空特性的网络路由流量,我们采用了时间扩展网络方法,在此基础上可以在路由开始之前做出时空路由决策。仿真结果表明,提出的方案,即DSR-SDN,可以对网络状态进行准确的时空特性估计,并为感测数据提供时延敏感的时空路由。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2019年第9期|9280-9292|共13页
  • 作者单位

    Dalian Univ Technol Sch Software Key Lab Ubiquitous Network & Serv Software Liaoni Dalian 116024 Peoples R China;

    Dalian Univ Technol Sch Software Key Lab Ubiquitous Network & Serv Software Liaoni Dalian 116024 Peoples R China|Nanjing Agr Univ Coll Engn Nanjing 210095 Jiangsu Peoples R China;

    Qatar Univ Dept Comp Sci & Engn Doha 2713 Qatar;

    Northeastern Univ Sch Comp Sci & Engn Shenyang 110004 Liaoning Peoples R China|Chinese Acad Sci Inst Acoust State Key Lab Acoust Beijing 100190 Peoples R China;

    Dalian Univ Technol Sch Software Key Lab Ubiquitous Network & Serv Software Liaoni Dalian 116024 Peoples R China|Harbin Engn Univ Sci & Technol Underwater Vehicle Lab Harbin 150001 Heilongjiang Peoples R China|Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Heilongjiang 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

    Underwater acoustic sensor networks; delay-sensitive routing; spatiotemporal characteristics; software defined networking; time-expanded network;

    机译:水下声传感器网络;延迟敏感路由;时空特征软件定义的网络;时间扩展网络;

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