This study examined the relationship between Internet of Smart Environment (IOSE) and
Pollution monitoring in Nigeria. Specifically, it explored the relationships between
environmental monitoring and data analytics, environmental monitoring and pollution
control measures, energy efficiency and data analytics, and energy efficiency and pollution
control measures. A cross-sectional survey research design was employed, with data
collected from 75 respondents across various environmental and regulatory bodies. Using
Spearman's rank-order correlation coefficient, the study analyzed the relationships between
the variables. The findings revealed significant positive relationships between environmental
monitoring and data analytics (rho = 0.521, p = 0.000), environmental monitoring and
pollution control measures (rho = 0.558, p = 0.000), energy efficiency and data analytics
(rho = 0.610, p = 0.000), and energy efficiency and pollution control measures (rho = 0.660,
p = 0.000). These results suggest that the integration of advanced data analytics and energyefficient strategies significantly enhances pollution monitoring, control measures, and overall
environmental management in Nigeria. The study recommends increased investment in data
analytics and energy-efficient technologies to improve pollution control and sustainability.