IoT in Smart Homes: Enhancing Security, Energy Efficiency, and Convenience

Authors

  • Dr. Shubhan shukla

Abstract

Smart home technologies powered by IoT are revolutionizing modern living through automation, energy management, and enhanced security. This paper explores IoT applications in smart home systems, including voice-controlled assistants, smart thermostats, connected appliances, and AI-powered security cameras. It discusses the benefits of IoT in reducing energy consumption and improving convenience while addressing concerns related to data privacy and cybersecurity vulnerabilities. Case studies highlight successful smart home implementations and provide recommendations for future advancements in connected living spaces.

References

Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.

Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).

Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.

Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).

Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).

DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.

DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).

Chavva, M. (2023). AI-Powered Cloud Security: Leveraging Large Language Models for Threat Detection and Risk Mitigation. Australian Journal of Cross-Disciplinary Innovation, 5(5).

Chavva, M. (2022). Adaptive Cloud Infrastructure Optimization Using Large Language Models (LLMs) for Cost-Efficient Resource Management. Australian Journal of Cross-Disciplinary Innovation, 4(4).

Chavva, M., & Veera, S. (2024). Cognitive Cloud Management: Leveraging Multi-Modal Learning for Intelligent Resource Optimization and Fault Resolution. Australian Journal of Cross-Disciplinary Innovation, 6(6).

Published

2024-11-12

How to Cite

shukla, D. S. (2024). IoT in Smart Homes: Enhancing Security, Energy Efficiency, and Convenience. Indonasian Journal of Multidisciplinary Innovations , 6(6). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJMI/article/view/5

Issue

Section

Articles