AUVs Telemetry Range Extension through a Multimodal Underwater Acoustic Network

Rizzo, William A.; Signori, Alberto; Campagnaro, Filippo; Zorzi, Michele

doi:10.1109/oceans.2018.8604869

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Given that the CSA/TCP link is much faster than the AHOI acoustic link, we expect the bitrate to adapt to the latter, around 200 bit/s. The packet transmission from one stack to another, in node b), is performed by the multi-destination module [21] that operates between the MAC layer and the Network layer. This setup represents a situation in which an underwater data-collecting node wants to send data to a nearby buoy which is connected via a radio link to the onshore station.…”

Section: B Multimodal Two-hop Underwater Sensor Networkmentioning

confidence: 99%

An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks

Francescon¹,

Campagnaro

Coccolo

et al. 2021

2021 Fifth Underwater Communications and Networking Conference (UComms)

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The DESERT Underwater framework (http://desertunderwater.dei.unipd.it/), originally designed for simulating and testing underwater acoustic networks in sea trials, has recently been extended to support real payload data transmission through underwater multimodal networks. Specifically, the new version of the framework is now able to transmit data in real time through the EvoLogics S2C low-rate and high-rate acoustic modems, the SmartPORT low-cost acoustic underwater modem prototype (AHOI) for IoT applications, as well as Ethernet, surface WiFi, and the BlueComm optical modem. The system can also be tested in the lab by employing a simulated channel, and the EvoLogics S2C DMAC Emulator (DMACE).

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Section: B Multimodal Two-hop Underwater Sensor Networkmentioning

confidence: 99%

An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks

Francescon¹,

Campagnaro

Coccolo

et al. 2021

2021 Fifth Underwater Communications and Networking Conference (UComms)

Self Cite

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“…In order to handle different modems the AUV requires a dedicated multimodal layer, that selects which modem to employ. This layer, called UW-MULTI-DESTINATION [48], is deployed between the routing layer and the MAC layer. For each incoming packet from the routing layer, UW-MULTI-DESTINATION first checks the packet's next hop address and then chooses the right physical layer technology to use for the transmission.…”

Section: Protocols Descriptionmentioning

confidence: 99%

Data Gathering from a Multimodal Dense Underwater Acoustic Sensor Network Deployed in Shallow Fresh Water Scenarios

Signori

Campagnaro

Steinmetz

et al. 2019

JSAN

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The Robotic Vessels as-a-Service (RoboVaaS) project intends to exploit the most advanced communication and marine vehicle technologies to revolutionize shipping and near-shore operations, offering on-demand and cost-effective robotic-aided services. In particular, the RoboVaaS vision includes a ship hull inspection service, a quay walls inspection service, an antigrounding service, and an environmental and bathymetry data collection service. In this paper, we present a study of the underwater environmental data collection service, performed by a low-cost autonomous vehicle equipped with both a commercial modem and a very low-cost acoustic modem prototype, the smartPORT Acoustic Underwater Modem (AHOI). The vehicle mules the data from a network of low cost submerged acoustic sensor nodes to a surface sink. To this end, an underwater acoustic network composed by both static and moving nodes has been implemented and simulated with the DESERT Underwater Framework, where the performance of the AHOI modem has been mapped in the form of lookup tables. The performance of the AHOI modem has been measured near the Port of Hamburg, where the RoboVaaS concept will be demonstrated with a real field evaluation. The transmission with the commercial modem, instead, has been simulated with the Bellhop ray tracer thanks to the World Ocean Simulation System (WOSS), by considering both the bathymetry and the sound speed profile of the Port of Hamburg. The set up of the polling-based MAC protocol parameters, such as the maximum backoff time of the sensor nodes, appears to be crucial for the network performance, in particular for the low-cost low-rate modems. In this work, to tune the maximum backoff time during the data collection mission, an adaptive mechanism has been implemented. Specifically, the maximum backoff time is updated based on the network density. This adaptive mechanism results in an 8% improvement of the network throughput.

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AUVs Telemetry Range Extension through a Multimodal Underwater Acoustic Network

Cited by 2 publications

References 15 publications

An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks

An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks

Data Gathering from a Multimodal Dense Underwater Acoustic Sensor Network Deployed in Shallow Fresh Water Scenarios

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