[HTML][HTML] Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives

A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

[HTML][HTML] An overview of machine learning-based energy-efficient routing algorithms in wireless sensor networks

Q Ding, R Zhu, H Liu, M Ma - Electronics, 2021 - mdpi.com
Machine learning (ML) technology has shown its unique advantages in many fields and has
excellent performance in many applications, such as image recognition, speech recognition …

A social internet of things smart city solution for traffic and pollution monitoring in cagliari

M Fadda, M Anedda, R Girau, G Pau… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
In the last years, the smart city (SC) paradigm has been deeply studied to support
sustainable mobility and to improve human living conditions. In this context, a new SC based …

D2CRP: A novel distributed 2-hop cluster routing protocol for wireless sensor networks

C Chen, LC Wang, CM Yu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Typically, wireless sensor networks (WSNs) use limited-capacity batteries that cannot be
recharged or replaced. In general, designing an energy-efficient routing protocol has a …

[HTML][HTML] Advanced chirped spectral modulation technique and particle swarm optimization algorithms for effective indoor air pollution detection and monitoring

AM Shalaby, NS Othman, M Shalaby - Alexandria Engineering Journal, 2024 - Elsevier
Traditional methods for detecting harmful gases in air are often limited in their widespread
deployment, accuracy, and real-time monitoring capabilities due to their complexity and cost …

Real-time air quality monitoring in Bull Trench Kiln-based Brick industry by calibrating sensor readings and utilizing the Serverless Computing

VS Sakila, S Manohar - Expert Systems with Applications, 2024 - Elsevier
Abstract Bull Trench Kiln-based Brick industries are major contributors of Particulate Matter
Pollutants (PM 2.5 and PM 10), which leads to deterioration of air quality, and hence needs …

A novel redundant validation IoT system for affective learning based on facial expressions and biological signals

AC Marceddu, L Pugliese, J Sini, GR Espinosa… - Sensors, 2022 - mdpi.com
Teaching is an activity that requires understanding the class's reaction to evaluate the
teaching methodology effectiveness. This operation can be easy to achieve in small …

HGNN: A Hierarchical Graph Neural Network Architecture for Joint Resource Management in Dynamic Wireless Sensor Networks

NX Tung, VH Viet, T Van Chien, NT Hoa… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
During the flourishing era of the Internet of Things (IoTs), wireless sensor networks (WSNs)
have emerged as a critical backbone for sensing, connectivity, and automation in 6G …

Ambient particulate matter monitoring system using SDS011 sensor utilizing machine learning approach and ambit of blockchain technology

VS Sakila, S Manohar, PA Ebenezer - Materials Today: Proceedings, 2023 - Elsevier
In recent days, air contaminated with Particulate Matter Pollutants (PM 2.5 and PM 10) plays
a major role in affecting the quality of air and it has a strong effect on the environment. PM …

Development of end-to-end low-cost IoT system for densely deployed PM monitoring network: an Indian case study

A Parmar, S Sara, AK Dwivedi, CR Reddy… - Frontiers in the Internet …, 2024 - frontiersin.org
Particulate matter (PM) is considered the primary contributor to air pollution and has severe
implications for general health. PM concentration has high spatial variability and thus needs …