IoT-based air quality monitoring systems for smart cities: A systematic mapping study

Author:

Munera Danny,Tobon V. Diana P.,Aguirre Johnny,Gomez Natalia Gaviria

Abstract

<p>The increased level of air pollution in big cities has become a major concern for several organizations and authorities because of the risk it represents to human health. In this context, the technology has become a very useful tool in the contamination monitoring and the possible mitigation of its impact. Particularly, there are different proposals using the internet of things (IoT) paradigm that use interconnected sensors in order to measure different pollutants. In this paper, we develop a systematic mapping study defined by a five-step methodology to identify and analyze the research status in terms of IoT-based air pollution monitoring systems for smart cities. The study includes 55 proposals, some of which have been implemented in a real environment. We analyze and compare these proposals in terms of different parameters defined in the mapping and highlight some challenges for air quality monitoring systems implementation into the smart city context.</p>

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Drone-Based Real-Time Air Pollution Monitoring System;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. The PiGas: A low-cost approach to volcanic gas sampling;Journal of Volcanology and Geothermal Research;2024-05

3. Improve air quality tracking through a fully intelligent IoT-based program with AERO Virtual Assistant;MATEC Web of Conferences;2024

4. Performance Analysis of IOT based Wireless Sensor Network and its Graphical User Interface for Air Quality Monitoring;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

5. Leveraging the Internet of Things and Cloud Computing: A Crowdsourcing Web Application for Reporting Hazard Incidents;2023 IEEE AFRICON;2023-09-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3