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  • 标题:A hybrid node-to-node trust probability based dynamic path planning algorthm for VANETs
  • 本地全文:下载
  • 作者:Naga Raju M ; Amarendra K
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:2
  • 页码:5823-5835
  • DOI:10.9756/INT-JECSE/V14I2.655
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:Vehicular Adhoc Networks (VANETs) play an essential role in the trust awareness for the data communication process. Since, most of the traditional approaches are difficult to find the trust probability between the vehicle to vehicle data communication process due to change in network topology and size of the network. Also, traditional path planning models are difficult to find the best route in the dynamic network topologies due to change in variance of network communication radius. In order to improve the efficiency in the dynamic network communication and network topology, a hybrid node-to-node trust probability is computed for the path planning process. In this work, a hybrid ant colony optimization approach is implemented on the VANETs for better data communication. Experimental results proved that the proposed node-to-node trust probability approach is better than the traditional models for VANETs.
  • 关键词:dynamic vehicle initialization;trust probability;Node trustiness;path planning
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