Optimal Relay Placement in Magnetic Induction Based Internet of Underwater Things

Ruhul Amin Khalil, Nasir Saeed

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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 paper, 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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Sensors Journal
DOIs
StatePublished - 2020

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