<p>This research paper presents a novel routing protocol for vehicular networks, aiming to achieve energy efficiency and enhance network topology through effective clustering. Taking inspiration from the natural behavior of cuckoos, the protocol enables nodes to share routing responsibilities, leading to reduced energy consumption. The Cuckoo Search algorithm is employed to generate and select optimal cluster solutions, while the integration of Levy flights and Gaussian distribution enhances both global and local search capabilities. The protocol facilitates the formation of clusters consisting of On-Board Unit (OBU) sensors to the Roadside Base Station (RSU). This data aggregation approach significantly reduces energy requirements, and the rotation of cluster heads ensures a balanced distribution of energy consumption. The results of the simulations exhibit the efficacy of the newly introduced CSGD-NET protocol in terms of energy preservation and the volume of data sent to the RSU, surpassing the performance of the current LEACH and LEACH-C protocols. These findings validate the efficacy of the Cuckoo Search algorithm, while its ease of implementation provides a notable advantage. Overall, the proposed protocol exhibits promising potential for achieving energy efficiency in vehicular networks. </p>

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Optimizing vehicular networks communications through green clustering and data aggregation

  • Lamaa Sellami,
  • Abir Mchergui,
  • Bechir Alaya

摘要

This research paper presents a novel routing protocol for vehicular networks, aiming to achieve energy efficiency and enhance network topology through effective clustering. Taking inspiration from the natural behavior of cuckoos, the protocol enables nodes to share routing responsibilities, leading to reduced energy consumption. The Cuckoo Search algorithm is employed to generate and select optimal cluster solutions, while the integration of Levy flights and Gaussian distribution enhances both global and local search capabilities. The protocol facilitates the formation of clusters consisting of On-Board Unit (OBU) sensors to the Roadside Base Station (RSU). This data aggregation approach significantly reduces energy requirements, and the rotation of cluster heads ensures a balanced distribution of energy consumption. The results of the simulations exhibit the efficacy of the newly introduced CSGD-NET protocol in terms of energy preservation and the volume of data sent to the RSU, surpassing the performance of the current LEACH and LEACH-C protocols. These findings validate the efficacy of the Cuckoo Search algorithm, while its ease of implementation provides a notable advantage. Overall, the proposed protocol exhibits promising potential for achieving energy efficiency in vehicular networks.