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<p>An emerging Mobile Ad-Hoc Network (MANET) is the Vehicular ad-hoc Network (VANET), which is one of the best applications in the transportation system. A VANET should have a huge number of nodes, where the inter-node communication is critical, and it is provided securely, as practical applications solve critical life situations where human lives are at stake in VANETs. It is a decentralized and self-organized system that can be developed using the mobile vehicles, and communication between the vehicles is done by sending traffic-based valuable information. Mobile vehicles act as the source nodes because they are used to transmit and receive traffic-based information on the channel. Altgough the distance of data transmission between the vehicles is limited distance, it can change from one network topology to another using the mobility nature. In multi-hop VANET, message delivery at the destination place is very challenging. The proper path selection among the nodes is very important in VANET. The main hypothesis of the research work is to design a hybridized optimization approach for determining the optimal path between the source and destination vehicle based on the multi-objective functions including distance, link reliability, end-to-end delay, route throughput, Packet Delivery Ratio (PDR), and link duration for lossless packet transmission by reducing the routing overhead in the dynamic vehicular environment. The new hybrid algorithm named Hybrid Tug of War Flow Direction Optimization (HTWFDO) is developed by combining the two well-known algorithms and they are Tug of War Optimization (TWO) and Flow Direction Algorithm (FDA). The MATLAB 2020a simulation tool is utilized to perform the simulation experiment on the developed hybridized optimal path selection process. Based on the experiment, the proposed HTWFDO algorithm provided the throughput value is36.36%, 80%, 36.36%, and 80% increased over the existing algorithms at the node value of 200.The simulation results prove that the designed routing algorithm provides better routing results in the vehicular environment when compared to the recently developed routing protocols in VANETs.</p>

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A novel multi-objective-derived heuristic-assisted reliable routing path selection scheme in vehicular ad hoc networks

  • 期刊论文

  • 发表日期：

    2025年2月27日

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  • S. Kalpana Devi,
  • R. Thenmozhi

摘要

An emerging Mobile Ad-Hoc Network (MANET) is the Vehicular ad-hoc Network (VANET), which is one of the best applications in the transportation system. A VANET should have a huge number of nodes, where the inter-node communication is critical, and it is provided securely, as practical applications solve critical life situations where human lives are at stake in VANETs. It is a decentralized and self-organized system that can be developed using the mobile vehicles, and communication between the vehicles is done by sending traffic-based valuable information. Mobile vehicles act as the source nodes because they are used to transmit and receive traffic-based information on the channel. Altgough the distance of data transmission between the vehicles is limited distance, it can change from one network topology to another using the mobility nature. In multi-hop VANET, message delivery at the destination place is very challenging. The proper path selection among the nodes is very important in VANET. The main hypothesis of the research work is to design a hybridized optimization approach for determining the optimal path between the source and destination vehicle based on the multi-objective functions including distance, link reliability, end-to-end delay, route throughput, Packet Delivery Ratio (PDR), and link duration for lossless packet transmission by reducing the routing overhead in the dynamic vehicular environment. The new hybrid algorithm named Hybrid Tug of War Flow Direction Optimization (HTWFDO) is developed by combining the two well-known algorithms and they are Tug of War Optimization (TWO) and Flow Direction Algorithm (FDA). The MATLAB 2020a simulation tool is utilized to perform the simulation experiment on the developed hybridized optimal path selection process. Based on the experiment, the proposed HTWFDO algorithm provided the throughput value is36.36%, 80%, 36.36%, and 80% increased over the existing algorithms at the node value of 200.The simulation results prove that the designed routing algorithm provides better routing results in the vehicular environment when compared to the recently developed routing protocols in VANETs.