Advancing Environmental Monitoring Systems Using IoT and Sensors

Atiya Alsanosa (1) , Asma Agaal (1) , Ateya Mohmed (2) , Ali Mohmmed (1) , Abbas Abubaker (1)
(1) Department of Computer Technologies, Faculty of Technical Sciences, Sebha, Libya,
(2) Department of Electrical and Ecteronic, Faculty of Technical Sciences, Sebha, Libya

Abstract

This paper presents the design and implementation of an environmental monitoring system for Sebha International Airport, Libya, utilizing the Internet of Things (IoT) and a Wireless Sensor Network (WSN). The system integrates sensor nodes to monitor temperature, light intensity, and soil moisture. Each node incorporates a Negative Temperature Coefficient (NTC) thermistor (TTC05203), a Cadmium Sulfide (CdS) photoresistor (LDR), and, in one node, a soil moisture sensor based on resistivity. Data acquisition is managed by PIC18F4620 microcontrollers, using Time-Division Multiple Access (TDMA) on a 2.4 GHz Zigbee network for reliable wireless communication. A Raspberry Pi Zero W acts as a gateway, collecting data from the WSN and uploading it to the ThingSpeak IoT platform for visualization and analysis. The system successfully monitors environmental conditions in real time, with Cyclic Redundancy Check (CRC) ensuring data integrity. This solution enhances passenger comfort by automating climate control based on real-time temperature and light readings, while also supporting sustainable management of airport green spaces through soil moisture monitoring. Further research will explore incorporating additional environmental parameters, such as air quality and noise levels, and developing predictive analytics capabilities.

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Authors

Atiya Alsanosa
[email protected] (Primary Contact)
Asma Agaal
Ateya Mohmed
Ali Mohmmed
Abbas Abubaker
Advancing Environmental Monitoring Systems Using IoT and Sensors. (2025). Journal of Pure & Applied Sciences , 24(1), 172-183. https://doi.org/10.51984/jopas.v24i1.3798

Article Details

How to Cite

Advancing Environmental Monitoring Systems Using IoT and Sensors. (2025). Journal of Pure & Applied Sciences , 24(1), 172-183. https://doi.org/10.51984/jopas.v24i1.3798

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