Marine Internet for Internetworking in Oceans: A Tutorial

Jiang, Shengming

doi:10.3390/fi11070146

Cited by 20 publications

(11 citation statements)

References 58 publications

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“…where τ l is the time slot duration allocated to the l th SB, τ gd is the guard interval between adjacent slots, and P sl denotes the power consumed during sleep mode. Constraint (10) ensures that a minimum number of data packets (including quality control information Q) is transmitted by all the SBs. For a given MCS index, the data transmission time grows linearly with the aggregation length [15] i.e., t l,d (φ l ) = Γ(η l ) • K l .…”

Section: Acquisition From the Source Buoysmentioning

confidence: 99%

“…Several additional approaches, outside the domain of marine seismic acquisition, are of considerable interest as well. A review of maritime networking is provided in [9], [10] from the perspective of the upper layers of the protocol stack. Experimental results are provided in [11], [12], where the former work considers a coastal scenario, while the latter work has taken into account the impact of wind speeds on long-range communication.…”

Section: Introductionmentioning

confidence: 99%

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Wi-Buoy: An Energy-Efficient Wireless Buoy Network for Real-Time High-Rate Marine Data Acquisition

Reddy

Stuber

2021

IEEE Access

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The next frontier of maritime networking will see the deployment of large-scale buoybased mesh networks, with an equal emphasis on both high-speed data transfer and energy-efficiency. One such challenging application is the operation of maritime seismic surveys for oil/gas exploration and academic studies. Large amounts of seismic data are generated at a rate of several Gigabits per second, by nearly 10,000-30,000 seismic sensors that are deployed on the seabed across an area of several square kilometers in offshore oceanic environments. The task of monitoring existing reservoirs and identifying new oil and gas deposits require subsurface images of superior quality, which in turn are dependent on high-quality data for processing. Wireless technology can unlock real-time data transfer for rapid image-viewing, enhanced productivity, and reduced logistical costs. This interdisciplinary article outlines the challenges of marine seismic acquisition and the design of a buoy-based wireless backhaul network for high-rate data transfer over the ocean surface. Based on off-the-shelf IEEE 802.11 systems, a standards-compliant wireless buoy network architecture called Wi-buoy is proposed for real-time, scalable, and energy-efficient data delivery. In order to attain optimal power conservation, a Buoy-Based Power-Saving Backhaul (B-PSB) scheme is also proposed for specifying the operating parameters across all layers of the protocol stack. Essential aspects of the marine propagation environment are reviewed, and the performance of the proposed system is evaluated as a function of the antenna height, wind speed, compression ratio, and various flavors of the IEEE 802.11 standard. Furthermore, the use of Autonomous Underwater Vehicles (AUVs) is analyzed as an integral component of upcoming high-speed buoy-based networks in the maritime environment.

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Section: Acquisition From the Source Buoysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wi-Buoy: An Energy-Efficient Wireless Buoy Network for Real-Time High-Rate Marine Data Acquisition

Reddy

Stuber

2021

IEEE Access

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“…The power source, together with the energy consumption, are the main bottleneck of the system. For the wireless connectivity, the most common technology applied is the Internet through Transmission Control Protocol (TCP) properly configured for the ports, modems or Wifi AP (Access Point) of the project devices [43]. Ethernet in the AUV and USV uses Local Area Net (LAN) connections [44] and wireless LAN (WLAN) [45].…”

Section: System Architecturementioning

confidence: 99%

Use of UIoT for Offshore Surveys Through Autonomous Vehicles

Sánchez

Márquez

Govindara

et al. 2021

Polish Maritime Research

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The ENDURUNS project is a European Research project of the Horizon 2020 framework, which has as its main objective to achieve the optimum and intelligent use of green hydrogen energy for long-term ocean surveys. The ENDURUNS system comprises an Unmanned Surface Vehicle (USV) and an Autonomous Underwater Vehicle (AUV) with gliding capability. The power pack of the USV integrates Li-ion batteries with photovoltaic panels, whilst the AUV employs Li-ion batteries and a hydrogen fuel cell. It is essential to develop a continuous monitoring ca-pability for the different systems of the vehicles. Data transmission between the devices onboard presents challenges due to the volume and structure of the different datasets. A telecommunications network has been designed to manage the operational components considered in the project. The autonomous vehicles perform measurements, providing their position and other data wirelessly. The system will generate a great volume of various signals during the survey. The Remote Control Centre needs to be interfaced with the vehicles in order to receive, manage and store the acquired data. An Underwater Internet of Things (IoT) platform is designed to establish efficient and smart data management. This study presents an exhaustive survey to analyse the telecommunication systems employed in the autonomous vehicles, including the back-end, user interface and mobile units. This paper presents the novel design of the hardware and software structure of the ENDURUNS project with regard to the literature, where its components and their in-terconnection layers are detailed, which is a novel scientific and technological approach for autonomous seabed surveying in deep oceans or in coastal areas.

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“…Based on an article written by Jiang [110], the communication system developed for use in the oceans is the maritime satellite and radio system. For satellite communication, the operational costs charged to the customers are relatively high because of the high investment costs.…”

Section: E Challenges Of Applying Iot In Monitoring Vessel Enginesmentioning

confidence: 99%

Modern Monitoring Instrument to Support Fishing Vessel Operation and Maintenance: A Review

Abrori¹,

Sidhi²,

Prasetyo³

2021

International Journal on Advanced Science, Engineering and Information Technology

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Determining the maintenance strategy for fishing vessels propulsion engines can use engine operational monitoring data. This data is used to prepare the implementation time, spare parts, labor, and costs. Unfortunately, many fishing vessels do not have this data. Currently, electronic devices are available for monitoring machine operations. This device is cheap, easy to use, takes responsibility for various physical quantity parameters, displays it on LCD, stores it digitally, and transmits data wirelessly. This paper aims to review the application of engine operational monitoring tools to apply to fishing vessel propulsion engines. The material used is scientific articles consisting of journals and proceedings indexed by online databases. Several keywords are used to obtain scientific articles that are suitable for the study. The method used is a literature review that is systematically reviewed by applying inclusion and exclusion. The results obtained in this article are the parameters for monitoring propulsion engines, namely temperature, pressure, rotational speed, and hours the engine runs. The monitoring device requires sensors to detect physical parameters, a microcontroller to process data, an LCD to display monitoring results, and memory to store data to obtain this data. The device supports wireless communication via Bluetooth or WiFi radio signal. Fishing vessels are operating in offshore areas that are not covered by internet networks as IoT communication transmissions. Further research on how to transmit operational engine data from offshore to onshore without an internet signal so that data can be accessed using the internet network.

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Marine Internet for Internetworking in Oceans: A Tutorial

Cited by 20 publications

References 58 publications

Wi-Buoy: An Energy-Efficient Wireless Buoy Network for Real-Time High-Rate Marine Data Acquisition

Wi-Buoy: An Energy-Efficient Wireless Buoy Network for Real-Time High-Rate Marine Data Acquisition

Use of UIoT for Offshore Surveys Through Autonomous Vehicles

Modern Monitoring Instrument to Support Fishing Vessel Operation and Maintenance: A Review

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