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<p>Mobile Ad Hoc Networks (MANETs) are dynamically distributed mobile nodes which provide infrastructure-less networks where every node is a host and a router. The energy consumption of networks is largely impacted by energy depletion because of their reliance on limited battery provisions, and hence energy-aware routing is an important design goal. In the current study, a routing model is suggested that is both energy efficient and employs the K-medoid clustering and fuzzy logic to select the best neighbors in large dense MANETs. Residual energy, traffic load, and channel collision time are some of the important parameters considered by the routing mechanism, and additional path optimization is performed through a fuzzy-based Spider Algorithm (SA), Bat Algorithm and an Optimized Energy Efficient Routing Algorithm (OEERA). Path length and node energy levels are also factored in the proposed approach to form the routes so as to make use of the energy in an even way. The simulation outcomes executed in MATLAB 2018a indicate that the proposed model helps to reduce the total energy usage by about 2225, in comparison to the protocols of AODV, DSR, and traditional energy-aware routing schemes, minimizes the average end-to-end delay by approximately 18 20, and increases the network lifetime by nearly 2428. These measured gains validate the fact that the hybrid optimization framework makes a huge contribution towards energy efficiency, latency performance, and network lifecycle in energy-constrained MANET environments.</p>

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A Novel Fuzzy based Optimized Energy Efficient Routing Algorithm with Hybrid Spider Algorithm and Bat Algorithm in MANET

  • 期刊论文

  • 发表日期：

    2026年5月13日

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  • D. Hemanand,
  • L. Balaji,
  • W. T. Chembian,
  • D. S. Jayalakshmi

摘要

Mobile Ad Hoc Networks (MANETs) are dynamically distributed mobile nodes which provide infrastructure-less networks where every node is a host and a router. The energy consumption of networks is largely impacted by energy depletion because of their reliance on limited battery provisions, and hence energy-aware routing is an important design goal. In the current study, a routing model is suggested that is both energy efficient and employs the K-medoid clustering and fuzzy logic to select the best neighbors in large dense MANETs. Residual energy, traffic load, and channel collision time are some of the important parameters considered by the routing mechanism, and additional path optimization is performed through a fuzzy-based Spider Algorithm (SA), Bat Algorithm and an Optimized Energy Efficient Routing Algorithm (OEERA). Path length and node energy levels are also factored in the proposed approach to form the routes so as to make use of the energy in an even way. The simulation outcomes executed in MATLAB 2018a indicate that the proposed model helps to reduce the total energy usage by about 2225, in comparison to the protocols of AODV, DSR, and traditional energy-aware routing schemes, minimizes the average end-to-end delay by approximately 18 20, and increases the network lifetime by nearly 2428. These measured gains validate the fact that the hybrid optimization framework makes a huge contribution towards energy efficiency, latency performance, and network lifecycle in energy-constrained MANET environments.