Analysis of Routing Performance Based on Opportunistic Networks in Vehicular Ad-Hoc Networks

As most of the nodes in vehicular ad-hoc networks (VANET) are fast-moving vehicles, the mobility of the nodes makes the structure of the network topology become more complex, the distribution range of the nodes become more extensive, and the relative position of the nodes become more flexible and uncontrollable. All these uncertain factors affect the stability of communication between vehicular nodes and the accuracy of vehicle data. This paper analyzes and compares the performance of the routing algorithm in the opportunistic networks (OppNets) under different preset values, to determine an efficient routing algorithm which is more suitable for the complex and changeable environment of the current VANET, and improves the communication between nodes. Simulation results show that the performance of each routing algorithm is significantly different under different preset values. Among them, the spray and focus routing algorithm performs the best, which improves the transmission rate and reduces the delay.

• Record URL:
  • https://doi.org/10.1061/9780784483053.020
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Cui, Jianming
  • Zhang, Yao
  • Gao, Shu
  • Wang, Ruirui
• Conference:
  • 20th COTA International Conference of Transportation Professionals
  • Location: Xi’an , China
  • Date: 2020-8-14 to 2020-8-16
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 234-245
• Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

• TRT Terms: Algorithms; Network nodes; Routing; Vehicular ad hoc networks
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01767319
• Record Type: Publication
• ISBN: 9780784483053
• Files: TRIS, ASCE
• Created Date: Mar 22 2021 10:34AM