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Efficient Connectivity in Smart Homes: Enhancing Living Comfort through IoT Infrastructure.

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This study introduces an intelligent Internet of Things (IoT) system to reduce smart home device interference. A hybrid approach combining deep learning and optimization enhances data reception reliability.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Smart home devices offer convenience but face communication challenges due to interference.
  • Interference from diverse transmission systems degrades smart home network performance.
  • Effective data sharing is crucial for the functionality of interconnected smart home systems.

Purpose of the Study:

  • To present a novel framework for reducing interference among smart home devices.
  • To enhance communication reliability and data reception in smart home environments.
  • To explore the synergistic application of deep learning and mathematical optimization for interference management.

Main Methods:

  • Developed an intelligent Internet of Things (IoT) system incorporating adaptive communication protocols and interference management algorithms.
  • Created an optimization model for dynamic resource allocation, including frequency channels and transmission power.
  • Integrated a deep learning technique for adaptive interference pattern prediction using real-time and historical data.

Main Results:

  • The hybrid strategy effectively minimizes interference, leading to improved data reception performance.
  • The deep learning component adapts to dynamic interference, while the optimization model manages resources efficiently.
  • Experimental results demonstrate the system's robustness and flexibility in various smart home scenarios.

Conclusions:

  • The proposed framework offers a comprehensive solution for interference reduction in smart homes.
  • Combining deep learning and mathematical optimization significantly enhances the dependability of smart home data reception.
  • This research paves the way for more robust and reliable smart home communication networks.