TY - GEN
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.
N1 - Publisher Copyright:
© 2024 IEEE.
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.
KW - energy efficiency
KW - Internet of Underwater Things
KW - stochastic geometry
KW - wake-up Radio
UR - http://www.scopus.com/inward/record.url?scp=85195366066&partnerID=8YFLogxK
U2 - 10.1109/ICASSP48485.2024.10447247
DO - 10.1109/ICASSP48485.2024.10447247
M3 - Conference contribution
AN - SCOPUS:85195366066
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 9286
EP - 9290
BT - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Y2 - 14 April 2024 through 19 April 2024
ER -
