Dual Energy Management and an Energy-Saving Model for the Internet of Things Using Solar Energy Harvesting

Nasser S. Albalawi (), Jerzy W. Rozenblit, Pratik Satam and Janet Meiling Roveda
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Nasser S. Albalawi: Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
Jerzy W. Rozenblit: Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
Pratik Satam: Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ 85721, USA
Janet Meiling Roveda: Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA

Energies, 2025, vol. 18, issue 13, 1-16

Abstract: The Internet of Things (IoT) is a fast-growing internet technology and has been incorporated into a wide range of fields. The optimal design of IoT systems has several challenges. The energy consumption of the devices is one of these IoT challenges, particularly for open-air IoT applications. The major energy consumption takes place due to inefficient routing, which can be addressed by the energy-efficient clustering method. In addition, the energy-harvesting method can also play a significant role in increasing the overall lifetime of the network. Therefore, in the proposed work, a novel energy-efficient dual energy management and saving model is proposed to manage the energy consumption of IoT networks. This model uniquely integrates energy-efficient clustering with solar energy harvesting (SEH) to address IoT energy challenges. The dual elbow method is utilized for efficient clustering to ensure guaranteed quality of service (QoS), while SEH enhances energy sustainability. The proposed method is implemented for high-density sensor network applications. Simulation results demonstrate a 25% reduction in overall energy consumption and a 20% increase in network lifetime compared to existing methods. Our model will be able to manage energy consumption and increase the IoT network’s overall lifetime by optimizing IoT devices’ energy consumption.

Keywords: Internet of Things; energy; power; solar energy harvesting; batter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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