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Title	An Energy Efficient Algorithm For Sustainable Monitoring Of Water Quality In Smart Cities
ID_Doc	7986
Authors	Philip M.S.; Singh P.
Year	2022
Published	Sustainable Computing: Informatics and Systems, 35
DOI	http://dx.doi.org/10.1016/j.suscom.2022.100768
Abstract	The Internet of Things (IoT) is a rapidly evolving technology that connects a huge number of devices for a wide range of applications such as smart cities, logistics, fleet management, etc. These applications demand a variety of requirements such as energy efficiency, cost, and battery life. The battery life of an IoT device is a significant issue, particularly for remote applications. This paper proposes an energy efficient algorithm for LoRa end-nodes for extended battery life. The efficacy of the proposed algorithm is demonstrated in a water quality monitoring system. A maximum energy saving of 62% is achieved compared to the conventional scheme. Additionally, a carbon footprint analysis is carried out, saving 8.6 kg of annual carbon emissions per node. © 2022 Elsevier Inc.
Author Keywords	Carbon footprint; Energy harvesting; LoRaWAN; Smart monitoring

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