Underwater communications for moving source using geometry-adapted time reversal and DFE: UAN10 data

Vilaipornsawai, Usa; Silva, A. J.; Jesus, S. M.

doi:10.1109/oceans-spain.2011.6003513

Cited by 8 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More information on the uni-SIMO system implementation and results obtained during the 2010 sea trial (UAN10, Pianosa Island, Italy) can be found in [18].…”

Section: ) Uanp Physical Layer-the Acoustic Modemsmentioning

confidence: 99%

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

Caiti

Grythe

Hovem

et al. 2013

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

Abstract-Underwater acoustic networks (UANs) are an emerging technology for a number of oceanic applications, ranging from oceanographic data collection to surveillance applications. However, their reliable usage in the field is still an open research problem, due to the challenges posed by the oceanic environment. The UAN project, a European-Union-funded initiative, moved along these lines, and it was one of the first cases of successful deployment of a mobile underwater sensor network integrated within a wide-area network, which included above water and underwater sensors. This contribution, together with a description of the underwater network, aims at evaluating the communication performance, and correlating the variation of the acoustic channel to the behavior of the entire network stack. Results are given based on the data collected during the UAN11 (May 2011, Trondheim Fjord area, Norway) sea trial. During the experimental activities, the network was in operation for five continuous days and was composed of up to four Fixed NOdes (FNOs), two autonomous underwater vehicles (AUVs), and one mobile node mounted on the supporting research vessel. Results from the experimentation at sea are reported in terms of channel impulse response (CIR) and signal-to-interference-plus-noise ratio (SINR) as measured by the acoustic modems during the sea tests. The performance of the upper network levels is measured in terms of round trip time (RTT) and probability of packet loss (PL). The analysis shows how the communication performance was dominated by variations in signal-to-noise ratio, and how this impacted the behavior of the whole network. Qualitative explanation of communication performance variations can be accounted, at least in the UAN11 experiment, by standard computation of the CIR and transmission loss estimate.

show abstract

“…More information on the uni-SIMO system implementation and results obtained during the 2010 sea trial (UAN10, Pianosa Island, Italy) can be found in [18].…”

Section: ) Uanp Physical Layer-the Acoustic Modemsmentioning

confidence: 99%

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

Caiti

Grythe

Hovem

et al. 2013

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

show abstract

“…Overall, the underwater network showed a quite impressive level of robustness in terms of capability to tackle variations in the oceanic conditions and modification in its topology. During the experiment, the Folaga AUVs were tested both as relay nodes assisting static nodes, as for example to route messages coming from the STU and directed towards the furthest node FNO2 ( Figure 2), and as movable source nodes [9]. The channel conditions were very unstable, and the communication performance quite variable.…”

Section: The Uan11 Experimentsmentioning

confidence: 99%

MOOS middleware and node adaptivity in underwater sensor networks: results from the UAN11 sea trial

Caiti¹,

Calabrò²,

Dini³

et al. 2012

Proceedings of Meetings on Acoustics

View full text Add to dashboard Cite

“…The implementation of the FSpTR followed by the DFE required a new technique that accounts for phase-jump correction between adjacent blocks with different frequency shifts. Results obtained on simulations, previous at sea collected data and an engineering test were presented in [6], while those obtained on UAN'10 data are shown in a companion paper at this conference [8].…”

Section: The Unidirectional Linkmentioning

confidence: 99%

UAN — Underwater Acoustic Network

Caiti

Felisberto

Husøy³

et al. 2011

OCEANS 2011 IEEE - Spain

View full text Add to dashboard Cite

Acoustic networks are for underwater what wifi is for terrestrial networks. The ocean is a nearly perfect media for acoustic waves in which regards long range propagation but poses a number of challenges in terms of available bandwidth, Doppler spread and channel fading. These limitations originate in the physical properties of the ocean, namely its anisotropy and boundary interaction which are particularly relevant in coastal waters where acoustic propagation becomes predominantly dependent on seafloor and sea surface properties. The acoustic communication channel is therefore multipath dominated and time and Doppler spread variable. The problem is aggravated when involving moving receivers as for instance when attempting to establish communication with or between moving autonomous underwater vehicles. The EU-funded project UAN -Underwater Acoustic Network aims at conceiving, developing and testing at sea an innovative and operational concept for integrating in a unique communication system submerged, surface and aerial sensors with the objective of protecting off-shore and coastline critical infrastructures. UAN went through various phases, including the development of hardware and software specific components, its testing independently and then in an integrated fashion, both in the lab and at sea. This paper reports on the project concept and vision as well as on the progress of its various development phases and the results obtained herein. At the time of writing, a final project sea trial is being planned and will take place two weeks before the conference so, although here we will concentrate on the progress obtained so far, the presentation at the conference may include additional results depending on the outcome of the sea trial.

show abstract

Underwater communications for moving source using geometry-adapted time reversal and DFE: UAN10 data

Cited by 8 publications

References 7 publications

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

MOOS middleware and node adaptivity in underwater sensor networks: results from the UAN11 sea trial

UAN — Underwater Acoustic Network

Contact Info

Product

Resources

About

Underwater communications for moving source using geometry-adapted time reversal and DFE: UAN10 data

Cited by 8 publications

References 7 publications

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

Linking Acoustic Communications and Network Performance: Integration and Experimentation of an Underwater Acoustic Network

MOOS middleware and node adaptivity in underwater sensor networks: results from the UAN11 sea trial

UAN &#x2014; Underwater Acoustic Network

Contact Info

Product

Resources

About

UAN — Underwater Acoustic Network