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.
