TY - GEN
T1 - AUV Trajectory Optimization for an Optical Underwater Sensor Network in the Presence of Ocean Currents
AU - Mahmoodi, Khadijeh Ali
AU - Uysal, Murat
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/24
Y1 - 2021/5/24
N2 - Autonomous underwater vehicles (AUVs) are instrumental for data offloading in underwater sensor networks (USNs). With high data rate capacity at transmission ranges in the order of several tens of meters, visible light communication (VLC) is well-positioned to serve as a wireless link between the AUV and sensor nodes. In this paper, we consider a USN network where an AUV is used for data retrieval from the sensors through VLC link. We formulate the design of optimal AUV trajectory as an optimization problem to minimize the AUV energy consumption under data rate constraints imposed by the VLC link and in the presence of ocean currents. Our numerical results demonstrate that our proposed trajectory is reactive to ocean currents and brings significant reductions in energy consumption and mission time of the AUVs, in particular for USN scenarios with a large number of sensor nodes.
AB - Autonomous underwater vehicles (AUVs) are instrumental for data offloading in underwater sensor networks (USNs). With high data rate capacity at transmission ranges in the order of several tens of meters, visible light communication (VLC) is well-positioned to serve as a wireless link between the AUV and sensor nodes. In this paper, we consider a USN network where an AUV is used for data retrieval from the sensors through VLC link. We formulate the design of optimal AUV trajectory as an optimization problem to minimize the AUV energy consumption under data rate constraints imposed by the VLC link and in the presence of ocean currents. Our numerical results demonstrate that our proposed trajectory is reactive to ocean currents and brings significant reductions in energy consumption and mission time of the AUVs, in particular for USN scenarios with a large number of sensor nodes.
KW - AUV trajectory
KW - Visible light communication
KW - underwater sensor network
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U2 - 10.1109/BlackSeaCom52164.2021.9527844
DO - 10.1109/BlackSeaCom52164.2021.9527844
M3 - Conference contribution
AN - SCOPUS:85115666699
T3 - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021
BT - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021
Y2 - 24 May 2021 through 28 May 2021
ER -