Smart Sensors and Wireless Networks for Environmental Monitoring

Regina Barzilay

Smart Sensors and Wireless Networks for Environmental Monitoring

Author(s)	Regina Barzilay
Country	United States
Abstract	Rapid industrialisation, urbanisation, climate change, and increasing environmental degradation have intensified the need for continuous and intelligent environmental monitoring systems. Conventional monitoring approaches often rely on manual data collection, limited spatial coverage, and delayed reporting, making them insufficient for real-time environmental assessment and decision-making. Smart sensors integrated with Wireless Sensor Networks (WSNs), the Internet of Things (IoT), Artificial Intelligence (AI), cloud computing, edge computing, Geographic Information Systems (GIS), and Big Data analytics have revolutionised environmental monitoring by enabling real-time, automated, and large-scale data acquisition and analysis. These technologies facilitate continuous monitoring of air quality, water quality, soil health, weather conditions, biodiversity, industrial emissions, and disaster risks while supporting sustainable environmental management and evidence-based policymaking. This study investigates smart sensors and wireless networks for environmental monitoring using a qualitative and analytical research methodology based on secondary data collected from peer-reviewed journals, international environmental reports, industrial case studies, and government publications. The study explores the architecture of intelligent environmental monitoring systems, sensor technologies, wireless communication protocols, AI-driven environmental analytics, cloud-based monitoring platforms, and smart city applications. The findings indicate that smart sensor networks significantly improve environmental monitoring by enhancing data accuracy, real-time detection, predictive analytics, early warning capabilities, and resource management. AI-powered analytics support pollution forecasting, climate modelling, anomaly detection, and environmental risk assessment, while IoT-enabled wireless communication facilitates seamless data transmission across distributed monitoring infrastructures. Integration with Digital Twins, unmanned aerial vehicles (UAVs), satellite remote sensing, and edge computing further strengthens environmental intelligence and system resilience. However, challenges including sensor calibration, energy efficiency, cybersecurity threats, communication reliability, interoperability, high deployment costs, and data privacy remain significant barriers to large-scale implementation. The study concludes that intelligent sensor networks and wireless communication technologies are fundamental to achieving sustainable environmental governance, climate resilience, and smart ecosystem management.
Keywords	Smart Sensors, Wireless Sensor Networks, Environmental Monitoring, Internet of Things, Artificial Intelligence, Air Quality Monitoring, Water Quality, Smart Cities, Edge Computing, Sustainable Environment.
Field	Engineering
Published In	Volume 3, Issue 1, January-February 2021
Published On	2021-01-20

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American Journal of Advanced Multidisciplinary Research and Innovation

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Smart Sensors and Wireless Networks for Environmental Monitoring

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