ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS

Abdulaziz Al-Amodi; Nour Kouzayha; Nasir Saeed; Mudassir Masood; Tareq Y. Al-Naffouri

doi:10.1109/ICASSP48485.2024.10447247

ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS

Abdulaziz Al-Amodi
, Nour Kouzayha
, Nasir Saeed
, Mudassir Masood
, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Underwater monitoring and exploration benefit from Internet of Underwater Things (IoUT). However, the lifetime of IoUT networks is limited due to batteries that require frequent replacement, which is costly and unfeasible in a hostile environment. To maximize IoUT device lifetimes and reduce system costs, we propose on-demand wake-up radios, activated by wake-up calls from deployed surface buoys via acoustic, optical, and magnetic induction communication. Using stochastic geometry tools, we analyze the wake-up scheme's performance, deriving analytical solutions for success and false wake-up probabilities. We characterize the scheme's performance under different design parameters and highlight its benefits.

Original language	English
Title of host publication	2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9286-9290
Number of pages	5
ISBN (Electronic)	9798350344851
DOIs	https://doi.org/10.1109/ICASSP48485.2024.10447247
State	Published - 2024
Event	2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, Korea, Republic of Duration: 14 Apr 2024 → 19 Apr 2024

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Country/Territory	Korea, Republic of
City	Seoul
Period	14/04/24 → 19/04/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

Internet of Underwater Things
energy efficiency
stochastic geometry
wake-up Radio

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP48485.2024.10447247

Cite this

Al-Amodi, A., Kouzayha, N., Saeed, N., Masood, M., & Al-Naffouri, T. Y. (2024). ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings (pp. 9286-9290). (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10447247

Al-Amodi, Abdulaziz ; Kouzayha, Nour ; Saeed, Nasir et al. / ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS. 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 9286-9290 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS",

abstract = "Underwater monitoring and exploration benefit from Internet of Underwater Things (IoUT). However, the lifetime of IoUT networks is limited due to batteries that require frequent replacement, which is costly and unfeasible in a hostile environment. To maximize IoUT device lifetimes and reduce system costs, we propose on-demand wake-up radios, activated by wake-up calls from deployed surface buoys via acoustic, optical, and magnetic induction communication. Using stochastic geometry tools, we analyze the wake-up scheme's performance, deriving analytical solutions for success and false wake-up probabilities. We characterize the scheme's performance under different design parameters and highlight its benefits.",

keywords = "Internet of Underwater Things, energy efficiency, stochastic geometry, wake-up Radio",

author = "Abdulaziz Al-Amodi and Nour Kouzayha and Nasir Saeed and Mudassir Masood and Al-Naffouri, \{Tareq Y.\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 ; Conference date: 14-04-2024 Through 19-04-2024",

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doi = "10.1109/ICASSP48485.2024.10447247",

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series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Al-Amodi, A, Kouzayha, N, Saeed, N, Masood, M & Al-Naffouri, TY 2024, ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS. in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 9286-9290, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, Seoul, Korea, Republic of, 14/04/24. https://doi.org/10.1109/ICASSP48485.2024.10447247

ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS. / Al-Amodi, Abdulaziz; Kouzayha, Nour; Saeed, Nasir et al.
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. p. 9286-9290 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS

AU - Al-Amodi, Abdulaziz

AU - Kouzayha, Nour

AU - Saeed, Nasir

AU - Masood, Mudassir

AU - Al-Naffouri, Tareq Y.

PY - 2024

Y1 - 2024

N2 - Underwater monitoring and exploration benefit from Internet of Underwater Things (IoUT). However, the lifetime of IoUT networks is limited due to batteries that require frequent replacement, which is costly and unfeasible in a hostile environment. To maximize IoUT device lifetimes and reduce system costs, we propose on-demand wake-up radios, activated by wake-up calls from deployed surface buoys via acoustic, optical, and magnetic induction communication. Using stochastic geometry tools, we analyze the wake-up scheme's performance, deriving analytical solutions for success and false wake-up probabilities. We characterize the scheme's performance under different design parameters and highlight its benefits.

AB - Underwater monitoring and exploration benefit from Internet of Underwater Things (IoUT). However, the lifetime of IoUT networks is limited due to batteries that require frequent replacement, which is costly and unfeasible in a hostile environment. To maximize IoUT device lifetimes and reduce system costs, we propose on-demand wake-up radios, activated by wake-up calls from deployed surface buoys via acoustic, optical, and magnetic induction communication. Using stochastic geometry tools, we analyze the wake-up scheme's performance, deriving analytical solutions for success and false wake-up probabilities. We characterize the scheme's performance under different design parameters and highlight its benefits.

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KW - energy efficiency

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M3 - Conference contribution

AN - SCOPUS:85195366066

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SP - 9286

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BT - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings

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Y2 - 14 April 2024 through 19 April 2024

ER -

Al-Amodi A, Kouzayha N, Saeed N, Masood M, Al-Naffouri TY. ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. p. 9286-9290. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP48485.2024.10447247

ENERGY EFFICIENT WAKE-UP SOLUTION FOR LARGE-SCALE INTERNET OF UNDERWATER THINGS NETWORKS

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this