In Intelligent Transport Systems, traffic management and providing stable routing paths between vehicles using vehicular ad hoc networks (VANET's) is critical. Lots of research and several routing techniques providing a long path lifetime have been presented to resolve this issue. However, the routing algorithms suffer excessive overhead or collisions when solving complex optimization problems. In order to improve the routing efficiency and performance in the existing schemes, a Position Particle Swarm Optimization based on Fuzzy Logic (PPSO-FL) method is presented for VANET that provides a high-quality path for communication between nodes. The PPSO-FL has two main steps. The first step is selecting candidate nodes through collectively coordinated metrics using the fuzzy logic technique, improving packet delivery fraction, and minimizing end-to-end delay. The second step is the construction of an optimized routing model. The optimized routing model establishes an optimal route through the candidate nodes using position-based particle swarm optimization. The proposed work is simulated using an NS2 simulator. Simulation results demonstrate that the method outperforms the standard routing algorithms in packet delivery fraction, end-to-end delay and execution time for routing in VANET scenarios.


    Access

    Download


    Export, share and cite



    Title :

    Fuzzy and Position Particle Swarm Optimized Routing in VANET



    Publication date :

    2021-01-01


    Remarks:

    International journal of electrical and computer engineering systems ; ISSN 1847-6996 (Print) ; ISSN 1847-7003 (Online) ; Volume 12 ; Issue 4


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Advanced VANET routing design

    Srotyr, M. / Lokaj, Z. / Zelinka, T. | IEEE | 2015


    Bio‐Inspired Routing in VANET

    Aggarwal, Alankrita / Gaba, Shivani / Nagpal, Shally et al. | Wiley | 2021


    Position control of electro-hydraulic actuator system using fuzzy logic controller optimized by particle swarm optimization

    Wonohadidjojo, D. M. / Kothapalli, G. / Hassan, M. Y. | British Library Online Contents | 2013


    V2V Routing in VANET Based on Fuzzy Logic and Reinforcement Learning

    Zhang, Wanli / Yang, Xiaoying / Song, Qixiang et al. | BASE | 2021

    Free access