4.6 Article

Intersection-Based Routing with Fuzzy Multi-Factor Decision for VANETs

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 16, Pages -

Publisher

MDPI
DOI: 10.3390/app11167304

Keywords

VANET; multi-factor; fuzzification; defuzzification; intersection; routing protocol

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1F1A1042721]
  2. BK21 Plus project - Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea [21A20131600005]

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The IRFMF scheme utilizes multiple factors to evaluate intersections and select the next road segment, with simulation results showing significant improvements in VANET performance in terms of packet delivery ratio and end-to-end delay.
Due to the limitations of the urban environment, the data transferred between vehicles can only change direction at the intersections. Therefore, the routing decision at an intersection will largely affect the overall routing decision. In this article, we propose an Intersection-Based Routing with Fuzzy Multi-Factor Decision (IRFMF), which utilizes several factors to decide the next road segment. In the scheme, each intersection introduces three factors including the direction, the number of lanes, and the traffic. After the fuzzification and defuzzification of these factors, the candidate segment with the highest evaluation will be selected. The simulation shows a significant improvement of VANETs performance on packet delivery ratio and end-to-end delay.

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