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

Laha, Suprava Ranjan; Pattanayak, Binod Kumar; Pattnaik, Saumendra

doi:10.3934/environsci.2022044

Cited by 20 publications

(7 citation statements)

References 143 publications

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“…The literature reveals significant strides in utilizing passive infrared sensors for environmental control, particularly in the activation of lighting systems based on the detection of human presence (Laha et al, 2022) [11]. Previous studies demonstrate the efficacy of PIR sensors equipped with trigger circuits in switching lights on or off upon detecting individuals (Jose, Malekian, 2017) [12]. Another line of research explores systems capable of recognizing people within enclosed spaces and dynamically adjusting lighting accordingly (Simeon et al, 2018) [13].…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient TRIZ-Inspired Paradigm to Automate Consumer Electronic Devices

Razaque,

Yoo,

Bektemyssova

et al. 2024

Preprint

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The ubiquitous problem of electrical energy waste is driven by human error, in which people regularly forget to turn off appliances when they leave a room, resulting in excessive consumption. The paper presents an energy-efficient TRIZ-inspired (EETRIZ) paradigm to automate consumer electronic devices in order to address this problem. Employing motion detection at entry and exit points, the system discerns room occupancy, effectively managing electrical appliances like lamps, fans, and air conditioners. The integration of theory of inventive problem solving (TRIZ) principles guides the ideation and design of an efficient switching mechanism. The system demonstrates that it is flexible by controlling multiple electronic consumer devices simultaneously. This paradigm can be used in a variety of environments, such as homes, offices, schools, and universities, and its goal is to reduce excessive energy use that results from human negligence. With an emphasis on economic viability and environmental impact, the proposed EETRIZ paradigm not only offers enhanced energy efficiency but also lays the groundwork for long-term sustainability practices, aligning with global efforts towards greener and smarter energy management. The proposed EETRIZ is implemented on C platform with support of MPLAB, Nuvoton 8051 Serie MCU Programming, GMPLibrary (GMP-5.1.1) and, Miracl Library. The proposed EETRIZ outperforms current state-of-the-art methods in terms of energy efficiency, cost-effectiveness, precision, and user-friendliness, according to hardware testing.

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Section: Related Workmentioning

confidence: 99%

Energy-Efficient TRIZ-Inspired Paradigm to Automate Consumer Electronic Devices

Razaque,

Yoo,

Bektemyssova

et al. 2024

Preprint

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“…Within the environmental monitoring sector, gas sensors are deployed to assess and manage air pollution levels, detect harmful emissions from vehicles and industrial processes, and monitor indoor air quality in buildings. These sensors contribute to efforts aimed at protecting the environment and public health, and ensure compliance with air quality regulations and standards [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Microheater Topology for Advanced Gas Sensor Applications with Carbyne-Enriched Nanomaterials

Aleksandrova,

Ustova,

Tsanev

et al. 2024

Applied Sciences

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The response characteristics of carbyne-enriched surface-acoustic-wave (SAW)-based gas sensors utilizing meander and rectangular microheater topologies were investigated to assess their desorption and recovery properties. Comparative analysis of contact resistance and interface capacitance before and after heating revealed minimal deviation in contact resistance, signifying strong thermal stability in the carbyne-enriched layer. However, the interface capacitance varied with the microheater size. Our analysis reveals that a small meander microheater configuration (line width: 300 µm) facilitates efficient sensor recovery at ethanol concentration measurements in the range of 180–680 ppm, maintaining a low deviation in time delay across different concentrations (~2.3%), resulting in a narrow hysteresis and linear sensor response. Conversely, the large meander microheater (line width: 450 µm) and rectangular dense microheater induce irreversible changes in the sensing structure, leading to a widened hysteresis at higher concentrations and increased power consumption. Recovery patterns display substantial deviations from initial values at different concentration levels. Higher concentrations exhibit broader hysteresis, while lower concentrations show narrower hysteresis loops, compared to the small meander microheater. The study offers insights into desorption rates, power consumption variations, and recovery behaviors related to different microheater configurations. It demonstrates the importance of microheater topology selection in tailoring recovery properties and response characteristics, contributing to the advancement of carbyne-based sensor technology.

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“…IoT-enabled devices provide real-time data to the users with access to the networks by either using notification messaging or continuous streaming of data by repeatedly updating the portals. In addition, the IoT enables remote monitoring, is scalable, and lacks physical connections [19].…”

Section: Introductionmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

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

Cited by 20 publications

References 143 publications

Energy-Efficient TRIZ-Inspired Paradigm to Automate Consumer Electronic Devices

Energy-Efficient TRIZ-Inspired Paradigm to Automate Consumer Electronic Devices

Microheater Topology for Advanced Gas Sensor Applications with Carbyne-Enriched Nanomaterials

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

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