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dc.contributor.author | Olatinwo, Segun Olatunbosun![]() |
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dc.contributor.author | Joubert, Trudi-Heleen![]() |
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dc.date.accessioned | 2023-03-22T06:05:57Z | |
dc.date.available | 2023-03-22T06:05:57Z | |
dc.date.issued | 2022-05-20 | |
dc.description | DATA AVAILABILITY STATEMENT : The data presented in this study are openly available in Mendeley Data at doi:10.17632/2wxgbcxn3t.1. | en_US |
dc.description.abstract | To understand the current state of research and to also reveal the challenges and opportunities for future research in the field of internet of water things for water quality monitoring, in this study, we conduct a bibliometric analysis and a comprehensive review of the published research from 2012 to 2022 on internet of water things for water quality monitoring. The bibliometric analysis method was used to analyze the collected published papers from the Scopus database. This helped to determine the majority of research topics in the internet of water things for water quality monitoring research field. Subsequently, an in depth comprehensive review of the relevant literature was conducted to provide insight into recent advances in internet of water things for water quality monitoring, and to also determine the research gaps in the field. Based on the comprehensive review of literature, we identified that reviews of the research topic of resource management in internet of water things for water quality monitoring is less common. Hence, this study aimed to fill this research gap in the field of internet of water things for water quality monitoring. To address the resource management challenges associated with the internet of water things designed for water quality monitoring applications, this paper is focused on the use of game theory methods. Game theory methods are embedded with powerful mathematical techniques that may be used to model and analyze the behaviors of various individual, or any group, of water quality sensors. Additionally, various open research issues are pointed out as future research directions. | en_US |
dc.description.department | Electrical, Electronic and Computer Engineering | en_US |
dc.description.librarian | am2023 | en_US |
dc.description.sponsorship | The University of Pretoria. | en_US |
dc.description.uri | https://www.mdpi.com/journal/water | en_US |
dc.identifier.citation | Olatinwo, S.O.; Joubert, T.-H. A Bibliometric Analysis and Review of Resource Management in Internet ofWater Things: The Use of Game Theory. Water 2022, 14, 1636. https:// doi.org/Olatinwo, S.O.; Joubert, T.-H. A Bibliometric Analysis and Review of Resource Management in Internet ofWater Things: The Use of Game Theory. Water 2022, 14, 1636. https://DOI.org/10.3390/w14101636. | en_US |
dc.identifier.issn | 2073-4441 | |
dc.identifier.other | 10.3390/w14101636 | |
dc.identifier.uri | http://hdl.handle.net/2263/90164 | |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Water research | en_US |
dc.subject | Water quality monitoring | en_US |
dc.subject | Water resource management | en_US |
dc.subject | Game theory | en_US |
dc.subject | Water system resource management | en_US |
dc.subject | Internet of water things | en_US |
dc.title | A bibliometric analysis and review of resource management in internet of water things : the use of game theory | en_US |
dc.type | Article | en_US |