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Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT.

Bhisham Sharma1, Deepika Koundal2, Rabie A Ramadan3

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.

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Summary
This summary is machine-generated.

The Internet of Things (IoT) is rapidly integrating Artificial Intelligence (AI) and Machine Learning (ML) techniques. This synergy enhances IoT capabilities, driving innovation in connected environments.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Data Science

Background:

  • The Internet of Things (IoT) is experiencing rapid growth, driven by advancements in Artificial Intelligence (AI) and Machine Learning (ML).
  • AI and ML are becoming integral to IoT development, enabling more sophisticated data analysis and decision-making.
  • The convergence of these technologies presents new opportunities and challenges in creating intelligent, connected systems.

Discussion:

  • The integration of AI and ML into IoT enhances device performance and data processing capabilities.
  • Machine learning algorithms are crucial for analyzing the vast amounts of data generated by IoT devices.
  • Artificial intelligence provides the intelligence layer for IoT, enabling predictive maintenance, automation, and personalized user experiences.

Key Insights:

  • AI and ML are pivotal in unlocking the full potential of the Internet of Things.
  • The study highlights the increasing importance of intelligent algorithms in managing and interpreting IoT data.
  • Successful IoT implementation relies heavily on the effective application of AI and ML.

Outlook:

  • Future IoT systems will likely feature deeper integration of AI and ML for greater autonomy and efficiency.
  • Continued research in AI and ML will further revolutionize the capabilities of connected devices.
  • The evolving landscape of IoT, powered by AI and ML, promises transformative impacts across various industries.