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<p>Wireless Ad-Hoc Networks (WAHNs) require robust, secure, and efficient routing mechanisms to handle dynamic topologies and resource constraints while ensuring Quality of Service (QoS). Traditional routing protocols often struggle to maintain QoS while addressing security concerns, which are paramount in sensitive communication environments. This study presents an Enhanced QoS-Aware Secure Routing Protocol for WAHNs Using Advanced Fast double-decker New binary Archimedes kepler Pure convolutional Transformer Network (F2DNBA-KPCTN) and Cryptographic Techniques to address these challenges. The protocol begins with a Self-Guided Deep Clustering Network to facilitate efficient cluster formation. For optimal cluster head selection, the Hybrid Starling Murmuration Optimizer (SMO) and Planet Optimization (PO) (Hyb-SM-PO) algorithms are applied. Node authentication is secured through a 3D-JST Cryptography Algorithm integrated with Cascaded 2D Fractional Fourier Transform (2D-FrFT) encryption, achieving a security enhancement against unauthorized access. For route optimization, the Fast Double Decker New Binary Archimedes Kepler Pure Convolutional Transformer Network (F2DNBA-KPCTN) is utilized, enabling optimal path selection with improvements in path trust by 22%, and delay reduction by 23%. This comprehensive approach significantly enhances QoS, data security, and overall network performance in WAHNs, making it a reliable solution in complex network environments.</p>

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Enhanced QoS-aware secure routing protocol for WAHNs using advanced fast double decker new binary archimedes kepler pure convolutional transformer network and cryptographic techniques

  • 期刊论文

  • 发表日期：

    2025年6月16日

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  • Vijayalakshmi Khagga,
  • Sangeetha Priya. N,
  • A. M. Prasad

摘要

Wireless Ad-Hoc Networks (WAHNs) require robust, secure, and efficient routing mechanisms to handle dynamic topologies and resource constraints while ensuring Quality of Service (QoS). Traditional routing protocols often struggle to maintain QoS while addressing security concerns, which are paramount in sensitive communication environments. This study presents an Enhanced QoS-Aware Secure Routing Protocol for WAHNs Using Advanced Fast double-decker New binary Archimedes kepler Pure convolutional Transformer Network (F2DNBA-KPCTN) and Cryptographic Techniques to address these challenges. The protocol begins with a Self-Guided Deep Clustering Network to facilitate efficient cluster formation. For optimal cluster head selection, the Hybrid Starling Murmuration Optimizer (SMO) and Planet Optimization (PO) (Hyb-SM-PO) algorithms are applied. Node authentication is secured through a 3D-JST Cryptography Algorithm integrated with Cascaded 2D Fractional Fourier Transform (2D-FrFT) encryption, achieving a security enhancement against unauthorized access. For route optimization, the Fast Double Decker New Binary Archimedes Kepler Pure Convolutional Transformer Network (F2DNBA-KPCTN) is utilized, enabling optimal path selection with improvements in path trust by 22%, and delay reduction by 23%. This comprehensive approach significantly enhances QoS, data security, and overall network performance in WAHNs, making it a reliable solution in complex network environments.