The Diver System: Multimedia Communication and Localization Using Underwater Acoustic Networks

Bernardi, Marco; Cardia, Christian; Gjanci, Petrika; Monterubbiano, Andrea; Petrioli, Chiara; Picari, Luigi; Spaccini, Daniele

doi:10.1109/wowmom.2019.8792924

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…Some underwater publications briefly mention general aspects of this issue. Some proposals consist of choosing between lossy and lossless compression according to the specific scenario, user needs and transmission quality conditions [ 48 ]. Lossless data acquisition is a simpler and faster solution that reduces data transfer overheads for applications with a high number of small-size images, [ 49 ].…”

Section: Critical Issues In Auv Underwater Imagingmentioning

confidence: 99%

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Monterroso Muñoz,

Moron-Fernández,

Cascado-Caballero

et al. 2023

Sensors

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Underwater imaging has been present for many decades due to its relevance in vision and navigation systems. In recent years, advances in robotics have led to the availability of autonomous or unmanned underwater vehicles (AUVs, UUVs). Despite the rapid development of new studies and promising algorithms in this field, there is currently a lack of research toward standardized, general-approach proposals. This issue has been stated in the literature as a limiting factor to be addressed in the future. The key starting point of this work is to identify a synergistic effect between professional photography and scientific fields by analyzing image acquisition issues. Subsequently, we discuss underwater image enhancement and quality assessment, image mosaicking and algorithmic concerns as the last processing step. In this line, statistics about 120 AUV articles fro recent decades have been analyzed, with a special focus on state-of-the-art papers from recent years. Therefore, the aim of this paper is to identify critical issues in autonomous underwater vehicles encompassing the entire process, starting from optical issues in image sensing and ending with some issues related to algorithmic processing. In addition, a global underwater workflow is proposed, extracting future requirements, outcome effects and new perspectives in this context.

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Section: Critical Issues In Auv Underwater Imagingmentioning

confidence: 99%

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Monterroso Muñoz,

Moron-Fernández,

Cascado-Caballero

et al. 2023

Sensors

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“…In [3,4], the drawbacks and comparison of communication technologies in IoUT such as acoustic, optical, radio frequency (RF), and magnetic induction (MI) are pointed out. [2] In IoUT communication technology, the sensor nodes are too deeply deployed underwater to perform the tasks based on the application that demand nodes to be mobile; for example, sensor nodes installed in an unmanned underwater vehicle (UUV), moves from place to place to monitor the underwater activities [5], In diver networks nodes moves from place to place to monitor the diver activities in case of emergency [6], In aquatic-based early warning system, the nodes change its position to notify the changes in the deep-sea environment [7], the mobile nodes notify the oil spills or pipe leakage during underwater oil extraction [8][9][10][11], etc. The major challenges of existing IoUT communication technologies are (1) issues in reliable data transmission (2) issues in link management or connectivity and (3) issues in energy-efficient data transmission [12].…”

Section: Introductionmentioning

confidence: 99%

Handover Mechanism Based on Underwater Hybrid Software-Defined Modem in Advanced Diver Networks

Raj¹,

Yum²,

Lee³

et al. 2022

Computers, Materials &Amp; Continua

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For the past few decades, the internet of underwater things (IoUT) obtained a lot of attention in mobile aquatic applications such as oceanography, diver network monitoring, unmanned underwater exploration, underwater surveillance, location tracking system, etc. Most of the IoUT applications rely on acoustic medium. The current IoUT applications face difficulty in delivering a reliable communication system due to the various technical limitations of IoUT environment such as low data rate, attenuation, limited bandwidth, limited battery, limited memory, connectivity problem, etc. One of the significant applications of IoUT include monitoring underwater diver networks. In order to perform a reliable and energy-efficient communication system in the underwater diver networks, a smart underwater hybrid softwaredefined modem (UHSDM) for the mobile ad-hoc network was developed that is used for selecting the best channel/medium among acoustic, visible light communication (VLC), and infrared (IR) based on the criteria established within the system. However, due to the mobility of underwater divers, the developed UHSDM meets the challenges such as connectivity errors, frequent link failure, transmission delay caused by re-routing, etc. During emergency, the divers are most at the risk of survival. To deal with diver mobility, connectivity, energy efficiency, and reducing the latency in ADN, a handover mechanism based on pre-built UHSDM is proposed in this paper. This paper focuses on (1) design of UHSDM for ADN (2) propose the channel selection mechanism in UHSDM for selecting the best medium for handover and (3) propose handover protocol in ADN. The implementation result shows that the proposed mechanism can be used to find the new route for divers in advance and the latency can be reduced significantly. Additionally, this paper shows the real field experiment of air tests and underwater tests with various distances. This research will contribute much to the profit of researchers in underwater diver networks and underwater networks, for improving the quality of services (QoS) of underwater applications.

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“…However, frogmen cannot conduct self-navigation on their own. To realize frogman accurate self-navigation, reference [22] has used underwater acoustic networks (UANs) to perform the positioning of target divers based on multitransponders. This method has taken the divers' position coordinates calculated by UANs as measurement information and has solved the problem of DR positioning error accumulation.…”

Section: Introductionmentioning

confidence: 99%

Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning

Zhang

Wang

et al. 2020

IEEE Access

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Using single transponder ranging (STR) information to aid positioning satisfies the needs of frogman autonomous positioning in waters emergency rescue, where miniaturized and low-cost devices are preferred. On this basis, a frogman self-navigation method based on virtual transponder array (VTA) and dead reckoning (DR) is proposed in this paper, to solve the problem that calculation results of DR still accumulate with time when STR information is taken as the external measurement. In the proposed method, firstly, by constructing the VTA with depth information constraint, frogman autonomous positioning under the condition of single transponder configuration is realized. Then, to combine the characteristics that DR positioning data is smooth and short-term stable, and that VTA positioning error is not cumulative, the DR navigation system is used to describe frogman's motion law, the frogman positioning coordinates that calculated by VTA are taken as external measurement and the Kalman filter is designed, which solves the problem of DR accumulated errors. Compared to traditional STR-DR method, the proposed VTA-DR method further improves the accuracy and stability of frogman navigation and positioning. Finally, based on the highprecision three-dimensional motion capture system, the semi-physical simulation experimental environment is built to verify the proposed method. The experimental results under different tracks indicate that the average total location error of VTA-DR method is 0.149m, which is reduced by 53.5% compared with STR-DR method. The proposed VTA-DR method can better suppress the accumulation of positioning errors and has better positioning accuracy and robustness. INDEX TERMS Frogman self-navigation, integrated navigation, single transponder, underwater acoustic positioning, virtual transponder array.

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The Diver System: Multimedia Communication and Localization Using Underwater Acoustic Networks

Cited by 14 publications

References 13 publications

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition

Handover Mechanism Based on Underwater Hybrid Software-Defined Modem in Advanced Diver Networks

Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning

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