Resilience against Shipping Noise and Interference in Low-Power Acoustic Underwater Communication

Steinmetz, Fabian; Renner, Christian

doi:10.23919/oceans40490.2019.8962790

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…The AHOI modems are cheap acoustic underwater modem prototypes developed by the smartPORT group at TUHH (Hamburg) [18] and are accessed via serial connection. There is a practical interface, written in Python, that allows the use of the modems as a chat-like application: this and other software, to manage the devices, can be found in the TUHH repositories [19].…”

Section: Ahoi Driversmentioning

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: Ahoi Driversmentioning

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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“…We discuss the stack subsequently and provide a detailed evaluation in Section 5 and Section 6. Due to the complexity of building a fully operational communication stack, we constrained ourselves to a choice of robust techniques, leaving optimization (e.g., other modulation techniques) to follow-up work; e.g., we are currently investigating chirp spread spectrum [66] and performed a comparison of modulation techniques in Reference [67]. Following this path allows research from modulation over medium access to localization but also employment in applications.…”

Section: Acoustic Communication Stackmentioning

confidence: 99%

ahoi

Renner

Heitmann

Steinmetz

2020

ACM Trans. Sen. Netw.

Self Cite

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The recent development of small, cheap AUVs enables a plethora of underwater near-and inshore applications. Among these are monitoring of wind parks, detection of pollution sources, water-quality inspection, and the support of divers during disaster management. These tasks profit from online reporting, control, and AUV swarm interaction; yet they require underwater communication. Unfortunately, commercial devices are prohibitively expensive and typically closed-source, hampering their application in affordable products and research. Therefore, we developed the open-source 1 ahoi acoustic modem. It is (i) small enough to be carried by micro AUVs, (ii) consumes little enough energy to not diminish operation times of its host, (iii) comes at an attractive unit cost below $600, (iv) can reliably communicate at distances of 150 m and more, and (v) supports ranging without additional hardware. Due to its modular build, the modem can be customized and is suitable as research platform to analyze, e.g., MAC and routing protocols. We conducted extensive real-world studies and present results of communication range, packet reception rate, ranging accuracy, and efficient and reliable self-localization. Finally, we draw conclusions regarding acoustic communication, ranging, and localization with inexpensive and low-power devices that go beyond a particular device. Our study, hence, encompasses general insights, observations, and recommendations.

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“…The combination of repetitions and FHSS distributes the bits over a wider bandwidth and addresses frequency cancellations. Other configurations have been evaluated in References [7,46], where the proposed one has been proved to provide a good trade-off between data rate and communication reliability in various scenarios. All in all, the modem has 25 kHz bandwidth around a central frequency of 62.5 kHz.…”

Section: Smartport Acoustic Underwater Modemmentioning

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

Self Cite

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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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Resilience against Shipping Noise and Interference in Low-Power Acoustic Underwater Communication

Cited by 9 publications

References 14 publications

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

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

ahoi

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

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