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<p>This study investigates the deployment and efficacy of Internet of Things (IoT) enabled smart sensors for environmental justice monitoring in industrial zones from 2018 to 2023. Using comprehensive data from multiple regions, we analyze the growth of IoT monitoring projects, sensor accuracy improvements, pollution incident detection rates, and funding distribution patterns. Results demonstrate a significant increase in IoT sensor deployments (from 5 to 40 projects) and pollution detection capabilities (from 50 to 850 incidents annually) over the study period. Sensor accuracy improved from 80 to 95% while response times decreased from 15 to 5&#xa0;min. Air quality monitoring represents the largest focus area (45%) of environmental pollution monitoring, with government funding (60%) serving as the primary financial support mechanism. Regional distribution analysis reveals that East Asia and Europe lead in implementation of IoT environmental monitoring systems. This research highlights the transformative potential of IoT technologies in addressing environmental justice concerns through real-time data collection, improved incident response, and enhanced community engagement in industrial zones. The findings support the development of evidence-based environmental policy and provide practical recommendations for wider adoption of IoT-based monitoring systems.</p>

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IoT-enabled smart sensors for real-time environmental justice monitoring in industrial zones

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Yan Wang

摘要

This study investigates the deployment and efficacy of Internet of Things (IoT) enabled smart sensors for environmental justice monitoring in industrial zones from 2018 to 2023. Using comprehensive data from multiple regions, we analyze the growth of IoT monitoring projects, sensor accuracy improvements, pollution incident detection rates, and funding distribution patterns. Results demonstrate a significant increase in IoT sensor deployments (from 5 to 40 projects) and pollution detection capabilities (from 50 to 850 incidents annually) over the study period. Sensor accuracy improved from 80 to 95% while response times decreased from 15 to 5 min. Air quality monitoring represents the largest focus area (45%) of environmental pollution monitoring, with government funding (60%) serving as the primary financial support mechanism. Regional distribution analysis reveals that East Asia and Europe lead in implementation of IoT environmental monitoring systems. This research highlights the transformative potential of IoT technologies in addressing environmental justice concerns through real-time data collection, improved incident response, and enhanced community engagement in industrial zones. The findings support the development of evidence-based environmental policy and provide practical recommendations for wider adoption of IoT-based monitoring systems.