Collaboration of LoRaWAN and Underwater Acoustic Communications in Sensor Data Collection Applications

Magrin, Davide; Signori, Alberto; Tronchin, Davide; Campagnaro, Filippo; Zorzi, Michele

doi:10.1109/ieeeconf38699.2020.9389248

Cited by 4 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We focus on the combination of LoRaWAN and Underwater Acoustic Communications for gathering sensor data and transmitting it to the terrestrial base station. [22] explains the same transmission from sensor nodes to LoRaWAN via surface sinks/buoys. Also, [23] talks about making and putting into use a combined acoustic/LoRa system for the Internet of Underwater Things with the help of some field tests.…”

Section: Related Workmentioning

confidence: 99%

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

Ganguli,

Agarwalla,

Anand

et al. 2024

Preprint

View full text Add to dashboard Cite

In the world of computer networks, underwater areas are a special setting that brings difficulties because of things like sound speed changing, node moving around, and limited node life. Since aerial networks are getting more crowded and overused, the study of underwater networks has become important. This thesis looks at the problems and possibilities in underwater networks, especially for packet routing within the network layer. We aim to assess and contrast different routing protocols that NS2 supports, looking at main performance metrics like end-to-end delay, energy consumption, and packet delivery ratio (PDR). By concentrating on these measurements we wish to highlight the pros and cons of different routing protocols for underwater networks. Along with that, we are also proposing an energy-efficient end-to-end IoUT architecture that explains how a small payload of data gets transmitted from underwater sensor nodes to the LoRa gateway. This would help in progressing technology related to underwater network systems.

show abstract

Section: Related Workmentioning

confidence: 99%

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

Ganguli,

Agarwalla,

Anand

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…the route between waypoints WP1 and WP2) or area well in advance, 2) The mission planning allocates one or multiple MASS to perform a bathymetric survey ahead of the ship to assure sufficient channel depth dependent on the size of the ship, 3) bathymetry metadata is sent to a shore centre for data provision to the ship, and predefined violations of the requested underkeel depth are sent via direct AIS messages to the ship. bandwidth of 125 kHz [23]. Is this configuration the maximum theoretical LoRaWAN bandwidth is c. 684 B/s, which prohibits transfer of raw survey data from the MASS for processing into AGS metadata, and thus the survey data processing must be embedded and performed on the MASS.…”

Section: Communication Constraints and Mitigationsmentioning

confidence: 99%

Ship Anti-Grounding with a Maritime Autonomous Surface Ship and Digital Twin of Port of Hamburg

Riordan,

Constapel,

Trslic

et al. 2023

OCEANS 2023 - Limerick

View full text Add to dashboard Cite

We present the virtual demonstration of a novel ship Anti-Grounding Service in a digital twinned use case scenario in the Port of Hamburg. The scenario is generated from real bathymetry survey data collected in the Port. The virtual model of a Maritime Autonomous Surface Ship travels the route ahead of merchant ships on approach to the Port and is integrated with a real-time high-resolution Multibeam SONAR Simulator that synthesizes underkeel survey data. The automated data processing workflow detects potential grounding hazards in the synthetic survey data and provides a real-time update of the Port nautical chart, which is presented in the Electronic Chart Display and Information System of a Ship Handling Simulator. Our method is the first to consider Multibeam SONAR equipped Maritime Autonomous Surface Ship platforms for provision of ship Anti-Grounding Services. The results validate the full-scale simulation and automated hazard detection workflow and incorporate tests conducted with certified mariners (N=10) to address human factors of introducing new technologies into safety critical situations. The key contributions of this work are summarized as: 1) Validation of Maritime Autonomous Surface Ships as an Anti-Grounding Service delivery platform; 2) Demonstration of a Digital Twin for hydrography survey and bottom hazard detection; and 3) Experimental validation with certified mariners of the antigrounding service Human-Computer Interface on the ship bridge.

show abstract

“…The simulation of this hybrid underwater and above water network is divided in two parts, using the tool developed in [24]. Specifically, the underwater network part was simulated with the DESERT Underwater framework [25], while the LoRaWAN network with the ns3 [26] module for LoRaWAN: given that the data generated by the underwater nodes are sent to surface nodes that forward it to the cloud server using the LoRaWAN network, the output of the DESERT simulations are saved in a tracefile (containing the sequence of packets received by the surface nodes) that is used as input for the ns3 simulations.…”

Section: Simulation Scenario and Settingsmentioning

confidence: 99%

A Network Infrastructure for Monitoring Coastal Environments and Study Climate Changes in Marine Systems

Campagnaro

Toffolo

Pozzebon

et al. 2022

OCEANS 2022, Hampton Roads

Self Cite

View full text Add to dashboard Cite

Climate changes have a tremendous impact on coastal and littoral areas, strongly affected by seaquakes and floods. Moreover, global warming causes a drastic change on the biodiversity of rivers, seas, lakes, including in biodiversity hotspots and protected areas, such as the Venice Lagoon in Italy. A similar impact is caused by pollutants: this called for a largescale long-term action that aims to monitor aquatic environmental parameters in order to predict, manage and mitigate these effects. Yet, coastal systems are highly heterogeneous in space and variable over short (daily), medium and long (seasonal, interannual) timescales, making reliable but affordable monitoring a challenging task. This paper proposes to automate this process with the use of a low-power sustainable integrated underwater and above water Internet of Things sensor network, able to collect water measurements in a cloud database and make them available to researchers to monitor the status of a certain area and develop their predictions models. Simulation results highlight how Low-Power Wide-Area Networks can support the data collection from a dense sensor deployment.

show abstract

Collaboration of LoRaWAN and Underwater Acoustic Communications in Sensor Data Collection Applications

Cited by 4 publications

References 14 publications

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

Ship Anti-Grounding with a Maritime Autonomous Surface Ship and Digital Twin of Port of Hamburg

A Network Infrastructure for Monitoring Coastal Environments and Study Climate Changes in Marine Systems

Contact Info

Product

Resources

About