Advancement of Environmental Monitoring System Using IoT and Sensor: A Comprehensive Analysis

被引:19
作者
Laha, Suprava Ranjan [1 ]
Pattanayak, Binod Kumar [1 ]
Pattnaik, Saumendra [1 ]
机构
[1] Siksha O Anusandhan Univ, Dept Comp Sci & Engn, ITER, Bhubaneswar 751030, Orissa, India
关键词
IoT; environmental monitoring; air pollution; water pollution; waste management; machine learning; AIR-QUALITY; NETWORK; INTERNET; ISSUES; THINGS; GIS;
D O I
10.3934/environsci.2022044
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The emergence of the Internet of Things (IoT) has brought a revolution in global communication network technology. It has acquired many day-to-day applications in healthcare, education, agriculture, etc. In addition, IoT has also had a significant impact in the field of environmental monitoring.The significant factors in a healthy environment are air quality, water pollution, and waste management, where the world's population can live securely. Monitoring is necessary for us to achieve global sustainability. As monitoring technology has advanced in recent years, environmental monitoring systems have evolved from essential remote monitoring to an advanced environment monitoring (AEM) system, incorporating Internet of Things (IoT) technology and sophisticated sensor modules.The present manuscript aims to accomplish a critical review of noteworthy contributions and research studies about environmental monitoring systems, which involve monitoring air quality, water quality, and waste management.The rapid growth of the world's population and the exhaustion of natural resources, coupled with the increasing unpredictability of environmental conditions, lead to significant concerns about worldwide food security, global warming, water pollution, and waste overflowing. Automating tasks in the building environment, based on the Internet of Things (IoT) application, is meant to eliminate problems with the traditional approach. This study aims to examine and evaluate numerous studies involving monitoring air, water, waste, and overall environmental pollution, as well as their effect on the environment. This article categorizes studies based on their research purposes, techniques, and findings. This paper examines advanced environmental monitoring systems through sensor technology, IoT, and machine learning.
引用
收藏
页码:771 / 800
页数:30
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