Optimal Relay Placement in Magnetic Induction Based Internet of Underwater Things
KAUST DepartmentComputer, Electrical, and Mathematical Sciences & Engineering (CEMSE) Division King Abdullah University of Science and Technology, Thuwal 23955, Makkah, Kingdom of Saudi Arabia.
Online Publication Date2020-07-29
Print Publication Date2021-01-01
Permanent link to this recordhttp://hdl.handle.net/10754/665140
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AbstractThe 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.
CitationKhalil, R. A., & Saeed, N. (2020). Optimal Relay Placement in Magnetic Induction Based Internet of Underwater Things. IEEE Sensors Journal, 1–1. doi:10.1109/jsen.2020.3012782
JournalIEEE Sensors Journal