Mobile Ad hoc Network (MANET) is a kind of unique technology utilized to make functional characteristics of the network model such as the dynamic topology, infrastructure characterized by the lack of centralized authority and the network of limited power resources with the variable data transmission-based network. Due to its dynamic nature, certain drawbacks occurred in the network, which needed to be concentrated on to achieve better performance among mobile devices. Issues like high power consumption, data loss, and delay occur in mobile devices, directly affecting the network’s performance. In this article, intelligent optimization through elephant herding with the dynamic route reconfiguration model (IOEHDR) is developed to overcome these drawbacks. In this model, the overall power utilization of the network is minimized with the presence of an optimal path selection process. The routing overhead and delay of the network are reduced using the various modes of path selection. It also results in an effective path selection process that reduces the possibility of path failure at the time of higher data loads. This optimization process evaluates the efficiency of the mobile notes using its residual energy at each transmission round in the network. Ask for the result of an experimental demonstration conducted in the NS3 software, and the results are all calculated using various parameters like data success rate, throughput, routing overhead, data loss rate, and average delay. The calculator results indicate that the IOEHDR model achieved maximum success rate and throughput over the baseline research.

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Intelligent Optimization Through Elephant Herding with Dynamic Route Reconfiguration in MANETs

  • Munther Naif Thiyab,
  • Hager Basil Mohammed Salh,
  • H. M. Al-Aboudy,
  • Melak Abdulhadi Dhahir,
  • Waleed Hadi Madhloom Kurdi

摘要

Mobile Ad hoc Network (MANET) is a kind of unique technology utilized to make functional characteristics of the network model such as the dynamic topology, infrastructure characterized by the lack of centralized authority and the network of limited power resources with the variable data transmission-based network. Due to its dynamic nature, certain drawbacks occurred in the network, which needed to be concentrated on to achieve better performance among mobile devices. Issues like high power consumption, data loss, and delay occur in mobile devices, directly affecting the network’s performance. In this article, intelligent optimization through elephant herding with the dynamic route reconfiguration model (IOEHDR) is developed to overcome these drawbacks. In this model, the overall power utilization of the network is minimized with the presence of an optimal path selection process. The routing overhead and delay of the network are reduced using the various modes of path selection. It also results in an effective path selection process that reduces the possibility of path failure at the time of higher data loads. This optimization process evaluates the efficiency of the mobile notes using its residual energy at each transmission round in the network. Ask for the result of an experimental demonstration conducted in the NS3 software, and the results are all calculated using various parameters like data success rate, throughput, routing overhead, data loss rate, and average delay. The calculator results indicate that the IOEHDR model achieved maximum success rate and throughput over the baseline research.