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Enhancing quality of service in wireless systems using iterative weighted least squares with fuzzy logic integration algorithm

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Abstract

Effective quality of service (QoS) management is essential to the smooth running of wireless networks and to guarantee peak performance. This study suggests a unique method for enhancing QoS in wireless networks that combines fuzzy logic with iterative weighted least squares (IWLS). Performance of the system is anticipated to be improved by dynamically modifying system settings depending on network input. When handling the uncertainties and imprecisions present in wireless contexts, fuzzy logic is used, allowing for adaptive decision-making depending on the state of the network. By adding network input, IWLS is also used to repeatedly adjust system parameters. To further improve QoS performance, an adaptive neural fuzzy iterative weighted least squares (ANFIWLS) method is presented. Fuzzy logic, neural networks, and IWLS work together to provide more precise inference and decision-making skills. According to a comparison, ANFIWLS beats fuzzy logic alone, resulting in a QoS increase of around 32.8%. This gain is most noticeable in settings with moderate loss rate, low jitter, medium latency, and high throughput. Fuzzy logic is used with ANFIWLS and IWLS to allow for the adaptive modification of QoS parameters in wireless networks, improving user experience and system performance as a whole. The results of this research aid in the creation of QoS management systems for wireless communication networks that are more dependable and efficient.

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Authors and Affiliations

  1. Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

    Kapil Aggarwal

  2. Computer Science and Engineering Department, Vellore Institute of Technology, Chennai, India

    P. N. Renjith

  3. Aditya Engineering College, Surampalem, affiliated to JNTUK, Kakinada, AP, India

    P. Udayakumar

  4. Department of CSE, Sri Venkateswara College of Engineering and Technology (Autonomous), Chittoor, India

    K. Thyagarajan

  5. Department of Artificial Intelligence and Machine learning, St. Joseph’s College of Engineering, Chennai, 600119, India

    L. Sherly Puspha Annabel

  6. Department of ECE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India

    S. Jayachitra

Authors
  1. Kapil Aggarwal
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  2. P. N. Renjith
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  3. P. Udayakumar
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  4. K. Thyagarajan
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  5. L. Sherly Puspha Annabel
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  6. S. Jayachitra
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Contributions

Dr. Kapil Aggarwal: Contributed to simulations, data collection, writing the main text of the article. Dr. P. N. Renjith: investigation, visualization, writing–review & editing. Dr. P. Udayakumar: Contributed data collection, data analysis. Mr. K. Thyagarajan: Contributed to simulations, data collection, Dr. L. Sherly Puspha Annabel: Contributed to data analysis, and potentially provided input in writing the main text of the article. S. Jayachitra: methodology, software, writing–original draft.

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Correspondence to Kapil Aggarwal.

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Aggarwal, K., Renjith, P.N., Udayakumar, P. et al. Enhancing quality of service in wireless systems using iterative weighted least squares with fuzzy logic integration algorithm. Opt Quant Electron 55, 1086 (2023). https://doi.org/10.1007/s11082-023-05295-6

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  • DOI: https://doi.org/10.1007/s11082-023-05295-6

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