AUV-Aided Localization for Underwater Acoustic Sensor Networks With Current Field Estimation

Yan, Jing; Guo, Dongbo; Luo, Xiaoyuan; Guan, Xinping

doi:10.1109/tvt.2020.2996513

Cited by 67 publications

(13 citation statements)

References 53 publications

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“…Node localization is an important requirement in the deployment of an underwater sensor network as most UWSN applications are location dependent. The absence of GPS, the use of asynchronous clocks, the presence of water stratification and mobility features of the underwater environment makes accurate node localization challenging and difficult [11]. For localization, the autonomous underwater vehicle can dive into the underwater network after getting its position from the GPS and sends data packets to unknown nodes which in turn calculate their positions [12].…”

Section: Localization and Time Synchronizationmentioning

confidence: 99%

Autonomous Underwater Vehicle in Internet of Underwater Things: A Survey

Okereke

Wahab

Mohamad

et al. 2021

J. Phys.: Conf. Ser.

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Water, mostly oceans, covers over two-third of the earth. About 95% of these oceans are yet to be explored which includes 99% of the sea-beds. The introduction of the Internet of Underwater Things (IoUT) underwater has become a powerful technology necessary to the quest to develop a SMART Ocean. Autonomous Underwater Vehicles (AUVs) play a crucial role in this technology because of their mobility and longer energy storage. In order for AUV technologies to be effective, the challenges of AUVs must be adequately solved. This paper provides an overview of the challenges of IoUT, the contributions of AUVs in IoUT as well as the current challenges and opening in AUV. A summary and suggestion for future work was discussed.

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Section: Localization and Time Synchronizationmentioning

confidence: 99%

Autonomous Underwater Vehicle in Internet of Underwater Things: A Survey

Okereke

Wahab

Mohamad

et al. 2021

J. Phys.: Conf. Ser.

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“…In this paper, we focus on developing a localization method using VLC links in a cross-medium scenario. Since acoustic communication is usually considered as the standard method of underwater environment [1], most existing underwater localization methods are acoustics based [6]- [8]. However, acoustic links have severe data rate limitation caused by the small frequency band and the high signal attenuation while traveling in underwater environments [9].…”

Section: Related Workmentioning

confidence: 99%

Underwater Localization using Airborne Visible Light Communication Links

Saif

Younis

2021

2021 IEEE Global Communications Conference (GLOBECOM)

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“…Some of the prior works in underwater localisation have been discussed here. Authors 13 have considered three perturbations: asynchronous clock, stratification effect and mobility due to current which affects underwater acoustic sensor network localisation. Using a method of iterative least square estimator, they have been able to compensate for the disturbances and consequently achieve underwater localisation with the assistance of an autonomous underwater vehicle (AUV).…”

Section: Underwater Localisationmentioning

confidence: 99%

Perturbation Propagation Models for Underwater Sensor Localisation using Semidefinite Programming

Prateek

Arya

2021

Def. Sc. J.

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Real time Underwater sensor networks (UWSNs) suffer from localisation issues due to a dearth of incorporation of different geometric scenarios in UWSN scenarios. To address these issues, this paper visualises three specific scenarios of perturbation. First, small sized and large numbered particles of perturbance moving in a tangential motion to the sensor nodes; second, a single numbered and large-sized particle moving in a rectilinear motion by displacing the sensor nodes into sideward and forward direction, and third, a radially outward propagating perturbance to observe the influenced sensor nodes as the perturbance moves outwards. A novel target localisation and tracking is facilitated by including marine vehicle navigation as a source of perturbation. Using semidefinite programming, the proposed perturbation models minimise localisation errors, thereby enhancing physical security of underwater sensor nodes. By leveraging the spin, cleaving motion and radial cast-away behaviour of underwater sensor nodes, the results confirm that the proposed propagation models can be conveniently applied to real time target detection and estimation of underwater target nodes.

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AUV-Aided Localization for Underwater Acoustic Sensor Networks With Current Field Estimation

Cited by 67 publications

References 53 publications

Autonomous Underwater Vehicle in Internet of Underwater Things: A Survey

Autonomous Underwater Vehicle in Internet of Underwater Things: A Survey

Underwater Localization using Airborne Visible Light Communication Links

Perturbation Propagation Models for Underwater Sensor Localisation using Semidefinite Programming

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