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September 16, 2025Journal of Machine and Computing

Enhancing Energy Efficiency and Data Reliability in Wireless Sensor Networks Through Adaptive Multi-Hop Routing with Integrated Machine Learning

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Authors

KPKuldeep PandeRashtrasant Tukadoji Maharaj Nagpur UniversityAPAbhiruchi PassiManav Rachna International Institute of Research and StudiesMRMadhava RaoKoneru Lakshmaiah Education Foundation

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Implication

Adaptive multi-hop routing enhances energy efficiency and data reliability in wireless sensor networks, suggesting new solutions for dynamic environments.

Key Points

  • The proposed adaptive routing protocol improves energy efficiency by reducing node energy consumption by up to 25%.
  • Packet delivery ratio is enhanced by 18%, contributing to overall network reliability and performance.
  • The framework utilizes machine learning to make routing decisions based on node energy and link quality.
  • Experimentation using NS-3 demonstrates significant improvements over traditional methods like LEACH and Directed Diffusion.

Cite This Study

Pande et al. (2025) studied this question.

synapsesocial.com/papers/68d454cb31b076d99fa5a481https://doi.org/10.53759/7669/jmc202505192
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