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Advanced Architectures and Management Strategies for Energy Efficiency in IoT Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024
EditorsNaina Chaudhary
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1231-1235
Number of pages5
ISBN (Electronic)9798350387490
DOIs
StatePublished - 2024
Event4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024 - Tashkent, Uzbekistan
Duration: 13 Nov 202415 Nov 2024

Publication series

NameProceedings - 4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024

Conference

Conference4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024
Country/TerritoryUzbekistan
CityTashkent
Period13/11/2415/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Demand Response Strategies
  • Energy Harvesting
  • Energy Management Systems (EMS)
  • IoT Energy Efficiency
  • Low-power SoC
  • STT-MRAM

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