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Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment.

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  • 1Department of Computer Science, Faculty of Computing and IT, International Islamic University, Islamabad, Pakistan.

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This study introduces an advanced model to enhance Wireless Fidelity (Wi-Fi) signal strength indoors by maximizing Line-of-Sight (LOS) paths. The proposed system effectively reduces signal decay, improving network performance and packet delivery ratio.

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Area of Science:

  • Electrical Engineering
  • Computer Networking
  • Signal Processing

Background:

  • Indoor Wireless Fidelity (Wi-Fi) deployment faces significant signal strength decay due to obstacles.
  • Signal penetration, reflection, and long transmission distances degrade Received Signal Strength (RSS) and cause packet loss.
  • Maximizing Line-of-Sight (LOS) is critical for reliable indoor wireless communication.

Purpose of the Study:

  • To propose an advanced model for maximizing LOS in indoor wireless communication environments.
  • To mitigate signal decay and improve network performance metrics such as RSS and Packet Delivery Ratio (PDR).
  • To develop an efficient signal attenuation and calculation model for identifying indoor obstacles.

Main Methods:

  • Development of an advanced model incorporating signal enhancers, repeaters, and reflectors.
  • Implementation of a signal attenuation and calculation model with a power algorithm to detect walls and corridors.
  • Comparative analysis against state-of-the-art models using RSS and PDR metrics in various indoor scenarios.

Main Results:

  • The proposed model demonstrated superior efficiency in enhancing indoor Wi-Fi signal strength compared to existing methods.
  • Significant improvements in Received Signal Strength (RSS) and Packet Delivery Ratio (PDR) were observed.
  • The model effectively identified and accounted for indoor obstacles like walls and corridors.

Conclusions:

  • The advanced model successfully maximizes Line-of-Sight (LOS) for improved indoor wireless communication.
  • The proposed system offers a robust solution for mitigating signal decay and enhancing network throughput.
  • This approach provides a foundation for more reliable and efficient indoor Wi-Fi services.