The routing protocol determines how to establish the connectivity in a network, different protocols follow different methodologies, the fusion of Narendra Modi optimization (NMO) and threshold-sensitive energy efficient network (TEEN) protocols is to optimize IoT-based quantum wireless sensor networks (Q-WSN). NMO introduces a systematic approach, highlighting needs assessment, policy formulation, and consistent improvement, aligning with the governing principles of Shri. Narendra Modi. TEEN enhances energy efficiency through adaptive routing and threshold-based data transmission. The fusion of NMO and TEEN combines the strengths of both the protocols to address challenges in Q-WSNs effectively. The integration of NMO's governance framework with TEEN's energy-efficient routing mechanisms enhances network performance, extends battery life, and ensures reliability in Q-WSNs. This approach provides a holistic solution for optimizing IoT-based Q-WSNs in the following aspects such as energy efficiency, system governance, and adaptive routing strategies.

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Optimizing IoT-Based Quantum Wireless Sensor Networks Using NM-TEEN Fusion of Energy Efficiency and Systematic Governance

  • J. Ramkumar,
  • R. Karthikeyan,
  • M. Lingaraj

摘要

The routing protocol determines how to establish the connectivity in a network, different protocols follow different methodologies, the fusion of Narendra Modi optimization (NMO) and threshold-sensitive energy efficient network (TEEN) protocols is to optimize IoT-based quantum wireless sensor networks (Q-WSN). NMO introduces a systematic approach, highlighting needs assessment, policy formulation, and consistent improvement, aligning with the governing principles of Shri. Narendra Modi. TEEN enhances energy efficiency through adaptive routing and threshold-based data transmission. The fusion of NMO and TEEN combines the strengths of both the protocols to address challenges in Q-WSNs effectively. The integration of NMO's governance framework with TEEN's energy-efficient routing mechanisms enhances network performance, extends battery life, and ensures reliability in Q-WSNs. This approach provides a holistic solution for optimizing IoT-based Q-WSNs in the following aspects such as energy efficiency, system governance, and adaptive routing strategies.