Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator

Rabia Qadar; Waleed Bin Qaim; Bo Tan; Jari Nurmi

doi:10.1109/VTC2022-Fall57202.2022.10012885

Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator

Rabia Qadar^*
, Waleed Bin Qaim
, Bo Tan
, Jari Nurmi

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

109 Lataukset (Pure)

Abstrakti

In the last decade, the field of wireless optical communication has gathered immense interest due to its adoption in growing bandwidth-hungry underwater applications. The expensive and non-standardized on-field research measurements call for a reliable simulation tool that allows researchers to realistically design and assess the performance of Underwater Optical Communication (UOC) systems before conducting actual underwater experiments. In this paper, we present a UOC module as an extension to the network simulator ns-3. The module can study the impact of different water conditions on underwater optical networks from the physical layer to the network layer. The proposed UOC module realizes physical layer models of the UOC channels where the added noise and interference effects are modeled as Additive White Gaussian Noise (AWGN). Results show the capability of our module to facilitate large underwater optical network design and optimization. Since ns-3 is an open-source software, the module has the flexibility and reusability to be further developed by the worldwide research community.

Alkuperäiskieli	Englanti
Otsikko	2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
Kustantaja	IEEE
ISBN (elektroninen)	978-1-6654-5468-1
DOI - pysyväislinkit	https://doi.org/10.1109/VTC2022-Fall57202.2022.10012885
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Vehicular Technology Conference - London, Iso-Britannia Kesto: 26 syysk. 2022 → 29 syysk. 2022

Julkaisusarja

Nimi	IEEE Vehicular Technology Conference
Vuosikerta	2022-September
ISSN (painettu)	1090-3038

Conference

Conference	IEEE Vehicular Technology Conference
Maa/Alue	Iso-Britannia
Kaupunki	London
Ajanjakso	26/09/22 → 29/09/22

Rahoitus

Funding from the European Union's MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union's H2020 Research and Innovation programme under the Marie Sklodowska-Curie grant agreement No.813278 ACKNOWLEDGMENT Bo Tan is part of the “DIOR: Deep Intelligent Optical and Radio Communication Networks” project that has received funding from the European Union’s MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union’s H2020 Research and Innovation programme under the Marie Skłodowska-Curie grant agreement No.813278 (A-WEAR, http://www.a-wear.eu/).

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Pääsy asiakirjaan

10.1109/VTC2022-Fall57202.2022.10012885

Underwater Optical Communication Module
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 417 KBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202302092207Lisenssi: Unspecified

Siteeraa tätä

@inproceedings{18b5f0fdf7be434aaa15ede5bcf26370,

title = "Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator",

abstract = "In the last decade, the field of wireless optical communication has gathered immense interest due to its adoption in growing bandwidth-hungry underwater applications. The expensive and non-standardized on-field research measurements call for a reliable simulation tool that allows researchers to realistically design and assess the performance of Underwater Optical Communication (UOC) systems before conducting actual underwater experiments. In this paper, we present a UOC module as an extension to the network simulator ns-3. The module can study the impact of different water conditions on underwater optical networks from the physical layer to the network layer. The proposed UOC module realizes physical layer models of the UOC channels where the added noise and interference effects are modeled as Additive White Gaussian Noise (AWGN). Results show the capability of our module to facilitate large underwater optical network design and optimization. Since ns-3 is an open-source software, the module has the flexibility and reusability to be further developed by the worldwide research community.",

keywords = "Channel Models, Network Simulator, ns-3, Underwater Optical Communication",

author = "Rabia Qadar and Qaim, \{Waleed Bin\} and Bo Tan and Jari Nurmi",

note = "Funding Information: Funding from the European Union's MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union's H2020 Research and Innovation programme under the Marie Sklodowska-Curie grant agreement No.813278 Funding Information: ACKNOWLEDGMENT Bo Tan is part of the “DIOR: Deep Intelligent Optical and Radio Communication Networks” project that has received funding from the European Union{\textquoteright}s MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union{\textquoteright}s H2020 Research and Innovation programme under the Marie Sk{\l}odowska-Curie grant agreement No.813278 (A-WEAR, http://www.a-wear.eu/). Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Vehicular Technology Conference ; Conference date: 26-09-2022 Through 29-09-2022",

year = "2023",

doi = "10.1109/VTC2022-Fall57202.2022.10012885",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "IEEE",

booktitle = "2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings",

address = "United States",

}

Qadar, R, Qaim, WB, Tan, B & Nurmi, J 2023, Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator. julkaisussa 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings. IEEE Vehicular Technology Conference, Vuosikerta 2022-September, IEEE, IEEE Vehicular Technology Conference, London, Iso-Britannia, 26/09/22. https://doi.org/10.1109/VTC2022-Fall57202.2022.10012885

TY - GEN

T1 - Underwater Optical Communication Module

T2 - IEEE Vehicular Technology Conference

AU - Qadar, Rabia

AU - Qaim, Waleed Bin

AU - Tan, Bo

AU - Nurmi, Jari

N1 - Funding Information: Funding from the European Union's MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union's H2020 Research and Innovation programme under the Marie Sklodowska-Curie grant agreement No.813278 Funding Information: ACKNOWLEDGMENT Bo Tan is part of the “DIOR: Deep Intelligent Optical and Radio Communication Networks” project that has received funding from the European Union’s MSCA RISE programme under grant agreement No. 10100828. Waleed bin Qaim is supported by the European Union’s H2020 Research and Innovation programme under the Marie Skłodowska-Curie grant agreement No.813278 (A-WEAR, http://www.a-wear.eu/). Publisher Copyright: © 2022 IEEE.

PY - 2023

Y1 - 2023

N2 - In the last decade, the field of wireless optical communication has gathered immense interest due to its adoption in growing bandwidth-hungry underwater applications. The expensive and non-standardized on-field research measurements call for a reliable simulation tool that allows researchers to realistically design and assess the performance of Underwater Optical Communication (UOC) systems before conducting actual underwater experiments. In this paper, we present a UOC module as an extension to the network simulator ns-3. The module can study the impact of different water conditions on underwater optical networks from the physical layer to the network layer. The proposed UOC module realizes physical layer models of the UOC channels where the added noise and interference effects are modeled as Additive White Gaussian Noise (AWGN). Results show the capability of our module to facilitate large underwater optical network design and optimization. Since ns-3 is an open-source software, the module has the flexibility and reusability to be further developed by the worldwide research community.

AB - In the last decade, the field of wireless optical communication has gathered immense interest due to its adoption in growing bandwidth-hungry underwater applications. The expensive and non-standardized on-field research measurements call for a reliable simulation tool that allows researchers to realistically design and assess the performance of Underwater Optical Communication (UOC) systems before conducting actual underwater experiments. In this paper, we present a UOC module as an extension to the network simulator ns-3. The module can study the impact of different water conditions on underwater optical networks from the physical layer to the network layer. The proposed UOC module realizes physical layer models of the UOC channels where the added noise and interference effects are modeled as Additive White Gaussian Noise (AWGN). Results show the capability of our module to facilitate large underwater optical network design and optimization. Since ns-3 is an open-source software, the module has the flexibility and reusability to be further developed by the worldwide research community.

KW - Channel Models

KW - Network Simulator

KW - ns-3

KW - Underwater Optical Communication

U2 - 10.1109/VTC2022-Fall57202.2022.10012885

DO - 10.1109/VTC2022-Fall57202.2022.10012885

M3 - Conference contribution

AN - SCOPUS:85147028208

T3 - IEEE Vehicular Technology Conference

BT - 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings

PB - IEEE

Y2 - 26 September 2022 through 29 September 2022

ER -

Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator

Abstrakti

Julkaisusarja

Conference

Rahoitus

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

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