SeaLinx

Le, Son; Peng, Zheng; Cui, Jun-Hong; Zhou, Hao; Liao, Janny

doi:10.1145/2532378.2533868

Cited by 30 publications

(3 citation statements)

References 13 publications

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“…The uw-WiFi underwater acoustic network utilizes the SeaLinx [43] underwater network protocol stack, which is based on a four-layer structure. Inside the protocol stack are the application layer, the transport layer, the network layer, and the data link layer.…”

Section: Architecture Of Uw-wifimentioning

confidence: 99%

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

Zhu,

Pan,

Peng

et al. 2024

JMSE

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The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achieve UIoT for medium to long ranges. This paper presents an underwater Wi-Fi network, called uw-WiFi, that utilizes a master–slave mode architecture. uw-WiFi is dedicated to solving the problem of underwater acoustic networking with limited coverage range and number of nodes. To ensure the reliability of different types of data in the network, a reliable segmentation transmission protocol based on data type is designed. Additionally, on-demand scheduling based on the reservation MAC protocol is developed to solve the channel resource sharing problem. The uw-WiFi system has undergone shallow sea tests, and the experimental results demonstrate that the uw-WiFi network is capable of achieving a network throughput of 500 bps or higher, indicating superior network performance.

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Section: Architecture Of Uw-wifimentioning

confidence: 99%

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

Zhu,

Pan,

Peng

et al. 2024

JMSE

Self Cite

View full text Add to dashboard Cite

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“…We encoded the advanced algorithm in SeaLinx, an underwater network protocol stack proposed in [32]. The SeaLinx is implemented in the embedded operating system of underwater acoustic modems.…”

Section: ) Implementationmentioning

confidence: 99%

RAP-MAC: A Robust and Adaptive Pipeline MAC Protocol for Underwater Acoustic String Networks

Pan,

Liu,

Zhu

et al. 2024

Remote Sensing

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The development of underwater acoustic networks is a significant expansion of Internet-of-Things technology to underwater environments. These networks are essential for a variety of marine applications. For many practical uses, it is more efficient to collect marine data from a remote location over multiple hops, rather than direct point-to-point communications. In this article, we will focus on the underwater acoustic string network (UA-SN) designed for this type of application. We propose a Robust and Adaptive Pipeline Medium Access Control (RAP-MAC) protocol to enhance the network’s transmission efficiency, adaptability, and robustness. The protocol includes a scheduling-based concurrent algorithm, online real-time configuration adjustment function, a rate mode adaptive algorithm, and a fault recovery algorithm. We conducted simulations to compare the new protocol with another representative protocol, validating the RAP-MAC protocol’s adaptability and fault recovery ability. Additionally, we carried out two large-scale sea trials. The results of these experiments indicate that the RAP-MAC protocol ensures effectiveness and reliability in large-scale multihop UA-SNs. In the South China Sea, we were able to achieve a communication distance of 87 km with a throughput of 601.6 bps, exceeding the recognized upper bound of underwater acoustic communication experiment performance by 40 km·kbps.

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“…The purpose of the simulation study we implemented is to evaluate the performance of the CLA strategy compared to the VBF and the MFLOOD protocols in the uw-Cellular network. The Aqua-Net Mate [39], a real-time virtual channel/modem simulator for SeaLinx [40], is used to complete the simulation study. The Aqua-Net Mate supports real-time schedule and provides user-friendly interfaces for parameter configuration which are more conducive to the simulation of mobile node networking.…”

Section: Simulation Studymentioning

confidence: 99%

A uw-Cellular Network: Design, Implementation and Experiments

Zhu

Pan

Peng

et al. 2023

JMSE

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The most significant increase of current task is in the desire for operational flexibility and agility in large-scale underwater network application scenarios in recent years. In order to address the challenging problems in Underwater Wireless Sensor Networks (UWSNs), we propose a large-scale UWSN based on the cellular network architecture called Underwater Cellular (uw-Cellular) network. It is designed especially for application scenarios where a large number of both fixed and mobile network nodes exist in a wide area to monitor the underwater environment. We also design protocols in each network layer in order to ensure reasonable channel sharing, data forwarding path selection and data reliability. The purpose of the simulation study we implement is to evaluate the performance of the CLA routing strategy compared to the VBF and the MFLOOD protocols in the uw-Cellular network. We also deploy a twenty-node uw-Cellular network in the real-world environment as the field case study. The experimental results showed that the Data Rate between any nodes could reach above 500 bps, and the network Average Throughput was no less than 550 bps under various load situations.

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SeaLinx

Cited by 30 publications

References 13 publications

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

RAP-MAC: A Robust and Adaptive Pipeline MAC Protocol for Underwater Acoustic String Networks

A uw-Cellular Network: Design, Implementation and Experiments

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