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<p>A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary. The innovative paradigm Reliability Based Multi-Objective Optimized Routing Protocol for VANETs (RBMOORPV) is proposed in this research. The structure consists of three levels: the modelling of the VANET network at level 1, the routing condition at level 2, which is dependent on dependability and a meta heuristic algorithm at level 2, and the routing algorithm at level 3. The following step describes the real network through an optimization block. The overall structure also has an optimization block, which regulates the reliability, meta heuristic algorithm, and routing blocks' individual characteristics. The Pelican Optimization Algorithm (POA) provides the basis for the optimization, which is given from a multi-objective standpoint. This covers the stages of exploration and exploitation. Two levels were used to accomplish the evaluation. The first was the RBMOORPV evaluation on the basis of the network simulator, and the second was the POA evaluation utilizing benchmarking mathematical functions. The acquired measures, such as delta metric, set coverage, Packet Delivery Ratio (PDR), hyper-volume, and End to End (E2E) delay, show that POA and RBMOORPV with POA are superior to their base techniques.</p>

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Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月17日

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  • R. Muthaiyan,
  • S. Senthilkumar,
  • C. Vijesh Joe,
  • M. Kavitha

摘要

A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary. The innovative paradigm Reliability Based Multi-Objective Optimized Routing Protocol for VANETs (RBMOORPV) is proposed in this research. The structure consists of three levels: the modelling of the VANET network at level 1, the routing condition at level 2, which is dependent on dependability and a meta heuristic algorithm at level 2, and the routing algorithm at level 3. The following step describes the real network through an optimization block. The overall structure also has an optimization block, which regulates the reliability, meta heuristic algorithm, and routing blocks' individual characteristics. The Pelican Optimization Algorithm (POA) provides the basis for the optimization, which is given from a multi-objective standpoint. This covers the stages of exploration and exploitation. Two levels were used to accomplish the evaluation. The first was the RBMOORPV evaluation on the basis of the network simulator, and the second was the POA evaluation utilizing benchmarking mathematical functions. The acquired measures, such as delta metric, set coverage, Packet Delivery Ratio (PDR), hyper-volume, and End to End (E2E) delay, show that POA and RBMOORPV with POA are superior to their base techniques.