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<p>Smart TVs have revolutionised the landscape of home entertainment, transforming traditional television viewing into an interactive, multifaceted experience. With integrated internet connectivity, these devices allow users to stream content from various platforms, access social media, and control other smart home devices, offering superlative convenience and flexibility. This paper presents a reliability model for Smart TVs based on a Markov process, which provides a comprehensive framework to analyze and predict system behavior under different conditions. The model focuses on key components of Smart TVs including sensors, microcontroller units (MCUs), operating systems, Wi-Fi modules, HDMI (High-definition Multimedia interface) ports, LCD displays (Liquid crystal display), and power supply units (PSUs). Based on the Markov state transition diagram, the differential equations are derived for each Markov state using Laplace Transform Technique and determine the reliability of each state. Using Markov process, we analyse an impact of component failures on overall system reliability. Through sensitivity analysis, we can identify which failure rates have highest contribution on the reliability performance of Smart TVs, enabling manufacturers to prioritize improvement in this application.</p>

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Reliability estimation of Smart TV application using Markov process

  • 期刊论文

  • 发表日期：

    2026年7月14日

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  • Vaishali Tyagi,
  • Satyam Singh,
  • Satendra Kaushik,
  • Sahil Verma

摘要

Smart TVs have revolutionised the landscape of home entertainment, transforming traditional television viewing into an interactive, multifaceted experience. With integrated internet connectivity, these devices allow users to stream content from various platforms, access social media, and control other smart home devices, offering superlative convenience and flexibility. This paper presents a reliability model for Smart TVs based on a Markov process, which provides a comprehensive framework to analyze and predict system behavior under different conditions. The model focuses on key components of Smart TVs including sensors, microcontroller units (MCUs), operating systems, Wi-Fi modules, HDMI (High-definition Multimedia interface) ports, LCD displays (Liquid crystal display), and power supply units (PSUs). Based on the Markov state transition diagram, the differential equations are derived for each Markov state using Laplace Transform Technique and determine the reliability of each state. Using Markov process, we analyse an impact of component failures on overall system reliability. Through sensitivity analysis, we can identify which failure rates have highest contribution on the reliability performance of Smart TVs, enabling manufacturers to prioritize improvement in this application.