Optimal Relay Placement in Magnetic Induction-Based Internet of Underwater Things

The advances in developing the Internet of Underwater Things (IoUT) can lead to numerous applications, namely, environmental monitoring, underwater navigation, and surveillance. Magnetic Induction (MI) is a promising communication solution for IoUT networks. In this article, we focus on a deep-ocean...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 21; no. 1; pp. 821 - 828
Main Authors: Khalil, Ruhul Amin, Saeed, Nasir
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Coils
Convexity
Environmental monitoring
Global optimization
Internet
Magnetic induction
Monitoring
Oceans
Optimization
Optimization techniques
Placement
Relay
relay nodes
Relays
reverse-convex programming
Sensors
Underwater communication
underwater communications
ISSN:1530-437X, 1558-1748
Online Access:Get full text
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Summary:The advances in developing the Internet of Underwater Things (IoUT) can lead to numerous applications, namely, environmental monitoring, underwater navigation, and surveillance. Magnetic Induction (MI) is a promising communication solution for IoUT networks. In this article, we focus on a deep-ocean monitoring network, where the underwater relays communicate using MI induction. Placement of the relays in such a system is an exciting and challenging task. Therefore, we propose an optimal relay placement solution for relays in MI-based IoUT networks to improve network throughput. First, we formulate the relay placement problem as a non-convex optimization problem. Then, we propose a global optimization technique based on Reverse Convex Programming (RCP) to solve the non-convex function. Finally, we compare the results of the proposed scheme with the uniform deployment to show its effectiveness.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2020.3012782