Research on the Current Technology, Challenges and Limitations of IoT Based Smart Home

Abstract The concept of smart homes has emerged as a transformative approach to modern living, leveraging the Internet of Things (IoT) to enable interconnected, intelligent, and energy-efficient environments. A smart home integrates sensors, actuators, and controllers with cloud and edge computing platforms to provide automation, safety, comfort, and energy optimization. Despite technological progress, IoT-based smart home systems face critical challenges, including high setup costs, limited interoperability, network dependency, and cybersecurity threats. This review presents an in-depth analysis of current technologies, architectures, and communication protocols used in smart homes. It also explores artificial intelligence (AI), machine learning (ML), and renewable energy integration as potential enablers for sustainable and secure home automation. The paper concludes with insights on future research directions for developing affordable, efficient, and privacy-aware smart home systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.18594847
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Current Technology, Challenges and Limitations of IoT Based Smart Home

H. N. Dandgavhal, S. A. Wankade, C.T. Hawale, A. B. Patil et al.
Zenodo (CERN European Organization for Nuclear Research)
IoT-based Smart Home Systems
article

Research on the Current Technology, Challenges and Limitations of IoT Based Smart Home

H. N. Dandgavhal, S. A. Wankade, C.T. Hawale, A. B. Patil, U. P. Shinde, S. S. Watpade
article en

Abstract

Abstract The concept of smart homes has emerged as a transformative approach to modern living, leveraging the Internet of Things (IoT) to enable interconnected, intelligent, and energy-efficient environments. A smart home integrates sensors, actuators, and controllers with cloud and edge computing platforms to provide automation, safety, comfort, and energy optimization. Despite technological progress, IoT-based smart home systems face critical challenges, including high setup costs, limited interoperability, network dependency, and cybersecurity threats. This review presents an in-depth analysis of current technologies, architectures, and communication protocols used in smart homes. It also explores artificial intelligence (AI), machine learning (ML), and renewable energy integration as potential enablers for sustainable and secure home automation. The paper concludes with insights on future research directions for developing affordable, efficient, and privacy-aware smart home systems.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN), Savitribai Phule Pune University (IN)
Openalex Percentile: Top 36%
IoT-based Smart Home Systems
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Research on the Current Technology, Challenges and Limitations of IoT Based Smart Home — H. N. Dandgavhal, S. A. Wankade, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS