Next generation marine data networks in an IoT environment

Rabab Al-Zaidi, J. Woods, Mohammed Q. S. Al-Khalidi, K. Alheeti, K. Mcdonald-Maier
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引用次数: 20

Abstract

Packet data networks at sea offer the potential for increased safety, connectivity and meteorological data acquisition. Existing solutions including satellite communication are expensive and prohibitive to most small vessels. In this paper, an Internet of Things (IoT) application is proposed as a marine data acquisition and cartography system over Ship Ad-hoc Networks (SANET). Ships are proposed to communicate over Very High Frequency (VHF) which is already available on the majority of ships and are equipped with several sensors such as sea depth, temperature, wind speed and direction, etc. On shore, 5G base station nodes represent sinks for the collected data and are equipped with Mobile Edge Computing (MEC) capabilities for data aggregation and processing. The sensory data is ultimately aggregated at a central cloud on the internet to produce public up to date cartography systems. We discuss the deployment limitations and benefits of the proposed system and investigate it's performance using four different MANET routing protocols which are Ad hoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multipath Distance Vector (AOMDV), Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols. Simulation results illustrate the efficiency of the proposed system with packet delivery rates of up to 60 percent at shore base stations.
物联网环境下的下一代海洋数据网络
海上分组数据网络提供了提高安全性、连通性和气象数据采集的潜力。包括卫星通信在内的现有解决方案都很昂贵,而且大多数小型船只都无法使用。本文提出了一种基于船舶自组织网络(SANET)的海洋数据采集和制图系统的物联网(IoT)应用。船舶建议使用甚高频(VHF)进行通信,这在大多数船舶上已经可用,并配备了几个传感器,如海洋深度,温度,风速和方向等。在岸上,5G基站节点代表收集数据的接收器,并配备移动边缘计算(MEC)功能,用于数据聚合和处理。感官数据最终在互联网上的中央云上汇总,以产生最新的公共制图系统。我们讨论了所提出系统的部署限制和优点,并使用四种不同的MANET路由协议(Ad hoc按需距离矢量(AODV), Ad hoc按需多路径距离矢量(AOMDV),目的序列距离矢量(DSDV)和动态源路由(DSR)协议研究了它的性能。仿真结果表明,该系统在岸基站的分组传输速率可达60%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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