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Low cost air pollution monitoring systems: A review of protocols and enabling technologies
Journal of Industrial Information Integration ( IF 10.4 ) Pub Date : 2019-12-13 , DOI: 10.1016/j.jii.2019.100123
Zeba Idrees , Lirong Zheng

Air pollution is the foremost concern especially in modern cities, because of its noteworthy influences on the community health, and the global economy. The significance of the air quality statistics makes the highly accurate real-time monitoring systems vital. The partial data access, high cost and the non-scalability of conventional air monitoring system enforce the researchers to develop future air pollution monitoring system employing advance technologies such as internet of things (IoT), wireless sensor network (WSN) and the low-cost ambient sensors. This paper presents a short but comprehensive review of these air pollution monitoring systems (APMS), their enabling technologies and protocols. We categorize the recent work into two main classes as static and mobile air monitoring systems based on the carriers of the sensing node and the deployment strategies. Sub categories include, portable monitoring devices, community supported approaches, WSN based systems, and IoT supported approaches. Broad performance assessments and the comparison among these categories were performed with respect to their architecture and the incorporated tools. Furthermore, the present study explored the issues, groundwork, and the methodology of designing a real-time air pollution monitoring system. Finally, the review deliberated the limits of the existing works and summaries the objectives that need to attain in the future air monitoring systems to make them more accurate and realistic.



中文翻译:

低成本空气污染监测系统:协议和支持技术的回顾

空气污染是最主要的问题,尤其是在现代城市中,因为它对社区健康和全球经济产生了显着影响。空气质量统计的重要性使高精度的实时监控系统至关重要。常规空气监测系统的部分数据访问,高成本和不可扩展性迫使研究人员利用物联网(IoT),无线传感器网络(WSN)和低成本等先进技术开发未来的空气污染监测系统环境传感器。本文简要介绍了这些空气污染监测系统(APMS),其支持技术和协议。基于传感节点的载体和部署策略,我们将最新工作分为静态和移动空气监测系统两大类。子类别包括便携式监视设备,社区支持的方法,基于WSN的系统和IoT支持的方法。就它们的体系结构和所包含的工具进行了广泛的性能评估以及这些类别之间的比较。此外,本研究探讨了问题,基础工作和设计实时空气污染监测系统的方法。最后,审查审议了现有工作的局限性,并总结了未来的空气监测系统要使其更加准确和现实所需要达到的目标。社区支持的方法,基于WSN的系统和IoT支持的方法。就它们的体系结构和所包含的工具进行了广泛的性能评估和这些类别之间的比较。此外,本研究探讨了问题,基础工作和设计实时空气污染监测系统的方法。最后,审查审议了现有工作的局限性,并总结了未来的空气监测系统需要达到的目标,以使其更加准确和现实。社区支持的方法,基于WSN的系统和IoT支持的方法。就它们的体系结构和所包含的工具进行了广泛的性能评估和这些类别之间的比较。此外,本研究探索了实时空气污染监测系统的设计问题,基础和方法。最后,审查审议了现有工作的局限性,并总结了未来的空气监测系统需要达到的目标,以使其更加准确和现实。以及设计实时空气污染监测系统的方法。最后,审查审议了现有工作的局限性,并总结了未来的空气监测系统需要达到的目标,以使其更加准确和现实。以及设计实时空气污染监测系统的方法。最后,审查审议了现有工作的局限性,并总结了未来的空气监测系统要使其更加准确和现实所需要达到的目标。

更新日期:2019-12-13
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