<p>Wireless Sensor Networks (WSNs) are extensively used in vital applications where safe and effective data processing is crucial, such as smart infrastructure, healthcare, and environmental monitoring. Nevertheless, traditional security measures in WSNs are restricted by processing power and thus more susceptible to sophisticated cyber-attacks. A possible strategy to improve security without sacrificing computational efficiency is reversible quantum computation. To enable lossless and energy-efficient quantum processing, the suggested design makes use of reversible quantum gates, such as Hadamard, Controlled-NOT, Toffoli, and Fredkin gates. A hybrid classical–quantum architecture is used, in which resource-constrained sensor nodes carry out lightweight sensing and preprocessing while a quantum processor accessible via a quantum gateway handles security-critical tasks including data transformation and secure key creation. The suggested method improves data secrecy and integrity while doing away with the requirement for quantum hardware at sensor nodes. When compared to conventional classical security approaches in WSNs, performance evaluation shows increased security resilience and decreased processing overhead. The findings show that safe data processing in next-generation wireless sensor networks can be achieved through scalable and practical reversible quantum processor designs.</p>

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Design of Reversible Quantum Processors for Safe Data Processing in Wireless Sensor Systems

  • A. Uthiramoorthy,
  • Anila Sathishkumar,
  • Kalamani,
  • Ajit Kumar Singh Yadav,
  • Pradeep Kamboj,
  • S. P. Manikandan

摘要

Wireless Sensor Networks (WSNs) are extensively used in vital applications where safe and effective data processing is crucial, such as smart infrastructure, healthcare, and environmental monitoring. Nevertheless, traditional security measures in WSNs are restricted by processing power and thus more susceptible to sophisticated cyber-attacks. A possible strategy to improve security without sacrificing computational efficiency is reversible quantum computation. To enable lossless and energy-efficient quantum processing, the suggested design makes use of reversible quantum gates, such as Hadamard, Controlled-NOT, Toffoli, and Fredkin gates. A hybrid classical–quantum architecture is used, in which resource-constrained sensor nodes carry out lightweight sensing and preprocessing while a quantum processor accessible via a quantum gateway handles security-critical tasks including data transformation and secure key creation. The suggested method improves data secrecy and integrity while doing away with the requirement for quantum hardware at sensor nodes. When compared to conventional classical security approaches in WSNs, performance evaluation shows increased security resilience and decreased processing overhead. The findings show that safe data processing in next-generation wireless sensor networks can be achieved through scalable and practical reversible quantum processor designs.