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dc.contributor.authorKhalil, Ruhul Amin
dc.contributor.authorSaeed, Nasir
dc.date.accessioned2020-09-14T13:26:56Z
dc.date.available2020-09-14T13:26:56Z
dc.date.issued2020
dc.identifier.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
dc.identifier.issn2379-9153
dc.identifier.doi10.1109/JSEN.2020.3012782
dc.identifier.urihttp://hdl.handle.net/10754/665140
dc.description.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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9151996/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9151996
dc.rightsArchived with thanks to IEEE Sensors Journal
dc.subjectMagnetic induction
dc.subjectOptimization
dc.subjectRelay nodes
dc.subjectReverse-convex programming
dc.subjectUnderwater communications
dc.titleOptimal Relay Placement in Magnetic Induction Based Internet of Underwater Things
dc.typeArticle
dc.contributor.departmentComputer, Electrical, and Mathematical Sciences & Engineering (CEMSE) Division King Abdullah University of Science and Technology, Thuwal 23955, Makkah, Kingdom of Saudi Arabia.
dc.identifier.journalIEEE Sensors Journal
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan.
kaust.personSaeed, Nasir


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