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A novel RL-based approach that enhances the routing decisions in Zone-Related MANETs is proposed. The system architecture divides the network into zones and employs RL algorithms, which select energy-efficient paths by a reward-based mechanism. ZoneWiseRL protocol exhibits superior performance than traditional protocols such as AODV and AOMDV in terms of PDR, throughput, and routing overhead. This strategy provides increased adaptability and further traffic balancing. Hence, this would be a highly promising approach to energy-efficient routing in MANETs. Further work may include further refinements and real-world implementations of RL in networking.

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An Innovative Method for Energy-Efficient Routing in Zone-Based Ad Hoc Networks Through Reinforcement Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Swati Bhagoriya,
  • M. A. Rizvi,
  • Kanak Saxena,
  • Rani Sahu

摘要

A novel RL-based approach that enhances the routing decisions in Zone-Related MANETs is proposed. The system architecture divides the network into zones and employs RL algorithms, which select energy-efficient paths by a reward-based mechanism. ZoneWiseRL protocol exhibits superior performance than traditional protocols such as AODV and AOMDV in terms of PDR, throughput, and routing overhead. This strategy provides increased adaptability and further traffic balancing. Hence, this would be a highly promising approach to energy-efficient routing in MANETs. Further work may include further refinements and real-world implementations of RL in networking.