Global Optimization of Relay Placement for Seafloor Optical Wireless Networks

Optical wireless communication is a promising technology for underwater broadband access networks, which are particularly important for high-resolution environmental monitoring applications. This paper focuses on a deep-sea monitoring system, where an underwater optical wireless network is deployed...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 20; no. 3; pp. 1801 - 1815
Main Authors: Inoue, Yoshiaki, Kodama, Takahiro, Kimura, Tomotaka
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Broadband
Deep sea
Environmental monitoring
Global optimization
Monitoring
Ocean floor
Optical communication
Optical fiber communication
Optical fiber networks
optical network
Optical sensors
Optical wireless
Optimization
Placement
queueing network
Queuing theory
Relay
Relays
reverse convex programming
Traffic volume
Underwater
Underwater communication
visible light
Wireless communications
Wireless networks
Wireless sensor networks
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary:Optical wireless communication is a promising technology for underwater broadband access networks, which are particularly important for high-resolution environmental monitoring applications. This paper focuses on a deep-sea monitoring system, where an underwater optical wireless network is deployed on the seafloor. We model such an optical wireless network as a general queueing network and formulate an optimal relay placement problem, whose objective is to maximize the stability region of the whole system, i.e., the supremum of the traffic volume that the network is capable of accommodating. The formulated optimization problem is further shown to be non-convex, so that its global optimization is non-trivial. In this paper, we develop a global optimization method for this problem and we provide an efficient algorithm to compute an optimal solution. Through numerical evaluations, we show that a significant performance gain can be obtained by using the derived optimal solution.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3036701