Advanced Architectures and Management Strategies for Energy Efficiency in IoT Systems

Internet of Things (IoT) systems penetration has brought tremendous innovations in different areas from homes to industries. But, the upsurge in the usage of IOT devices to can lead to a massive demand for energy consumptions hence call for new solutions on how this energy may be used efficiently. In the current study, the authors focus on the state of the art solutions and approaches to the energy management in IoT context. It offers an understanding of how power optimisations in hardware designs are done, including in low-power SoC solutions and in more potent STT-MRAM architectures that decrease power usage at the macro component level. Pertaining to conservation, the study also reviews the energy-savvy architectures of the network, a new system of access point, and routing protocols that employ the least energy. In addition, the methods of use of renewable energy resources for IoT operation and energy harvesting techniques are also proposed. On the management front, the paper presents overall frameworks on the methods for developing EMS, utilization of big data technology for energy use measurement and control in real-time. It also looks into techniques of demand response management and load managing that reduces fluctuations in energy demand. Discussed here are some of the simple yet effective solutions for controlling and reducing energy consumption in buildings where actual performance evaluations are made by showing marked enhancement in the systems and substantial energy saving. The following are the research propositions and avenues for future research, and the emerging technologies that could be applied in the future to influence the energy efficiency of IoT systems.

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Published
2024-11-13
DOI
https://doi.org/10.1109/ictacs62700.2024.10841188
Primary Topic
Digital Transformation in Industry
Type
article
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article

Advanced Architectures and Management Strategies for Energy Efficiency in IoT Systems

Rubina Liyakat Khan, Suhail Javed Quraishi, Remya George, Anupam Singh et al.
Digital Transformation in Industry
article

Advanced Architectures and Management Strategies for Energy Efficiency in IoT Systems

Rubina Liyakat Khan, Suhail Javed Quraishi, Remya George, Anupam Singh, Sajithunisa Hussain, Nazia Ahmad
article en

Abstract

Internet of Things (IoT) systems penetration has brought tremendous innovations in different areas from homes to industries. But, the upsurge in the usage of IOT devices to can lead to a massive demand for energy consumptions hence call for new solutions on how this energy may be used efficiently. In the current study, the authors focus on the state of the art solutions and approaches to the energy management in IoT context. It offers an understanding of how power optimisations in hardware designs are done, including in low-power SoC solutions and in more potent STT-MRAM architectures that decrease power usage at the macro component level. Pertaining to conservation, the study also reviews the energy-savvy architectures of the network, a new system of access point, and routing protocols that employ the least energy. In addition, the methods of use of renewable energy resources for IoT operation and energy harvesting techniques are also proposed. On the management front, the paper presents overall frameworks on the methods for developing EMS, utilization of big data technology for energy use measurement and control in real-time. It also looks into techniques of demand response management and load managing that reduces fluctuations in energy demand. Discussed here are some of the simple yet effective solutions for controlling and reducing energy consumption in buildings where actual performance evaluations are made by showing marked enhancement in the systems and substantial energy saving. The following are the research propositions and avenues for future research, and the emerging technologies that could be applied in the future to influence the energy efficiency of IoT systems.

Manav Rachna International Institute of Research and Studies (IN), Graphic Era University (IN), Imam Abdulrahman Bin Faisal University (SA)
Affordable and clean energy
Openalex Percentile: Top 62%
Digital Transformation in Industry
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