ENERGY-EFFICIENT SMART IRRIGATION
USING IOT AND WIRELESS SENSOR
NETWORKS IN ALGERIA'S SAHARA

Abstract


Abstract. The increasing pressure on water resources in arid and semi-arid regions, particularly in Algeria's Sahara, necessitates the development of innovative and sustainable irrigation solutions. This study explores the design and implementation of an energy-efficient smart irrigation system based on the integration of Internet of Things (IoT) technologies and Wireless Sensor Networks (WSNs). The proposed approach aims to optimize water usage while minimizing energy consumption, thereby addressing two critical challenges faced by agricultural practices in desert environments. By deploying distributed sensor nodes capable of monitoring soil moisture, temperature, and environmental conditions in real time, the system enables data-driven irrigation decisions that enhance crop productivity and resource efficiency.
The research adopts a system-oriented analytical methodology, focusing on the interaction between sensing devices, communication protocols, and control mechanisms. Special attention is given to energy management strategies, including low-power communication techniques and adaptive scheduling algorithms that extend the operational lifetime of sensor nodes. Furthermore, the study evaluates the feasibility of integrating renewable energy sources, such as solar power, to ensure system sustainability in remote areas where conventional energy infrastructure is limited. The findings demonstrate that the proposed smart irrigation model significantly reduces water waste and energy consumption compared to traditional irrigation methods, while improving overall agricultural performance.
This work contributes to the advancement of precision agriculture in Algeria by providing a scalable and cost-effective solution tailored to the specific environmental conditions of the Sahara. It also highlights the potential of IoT and WSN technologies in supporting sustainable development goals, particularly in the context of climate change and resource scarcity. The study concludes with recommendations for policy makers and practitioners to promote the adoption of smart irrigation systems as part of a broader strategy for agricultural modernization and environmental conservation.

Received: 14 Feb 2023

Key Words and Phrases: IoT, Wireless Sensor Networks, Smart Irrigation, Energy Efficiency, Precision Agriculture.

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How to cite this paper?
Source: International Journal of Applied Mathematics
ISSN printed version: 1311-1728
ISSN on-line version: 1314-8060
Year: 2023
Volume: 36
Issue: 6


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