On-demand distance vector refinement-based car networking stable routing
by Shutao Zhou; Chengxing Li; Hui Yu
International Journal of Innovative Computing and Applications (IJICA), Vol. 11, No. 2/3, 2020

Abstract: Due to the high-speed movement of vehicles and obstacles in urban scenes, the communication paths between vehicles become extremely fragile. Specific to the routing problem of VANETs, a path criterion-based on-demand distance vector PA-AODV routing algorithm is proposed. The PA-AODV routing algorithm makes full use of the characteristics of AODV routing, and improves its routing decision. By calculating the path criterion weight and preferentially selecting the path with small weight for data transmission, the path stability is thus improved. The experimental data show that the proposed PA-AODV routing reduces the data packets loss rate and also shortens the end-to-end transmission delay.

Online publication date: Mon, 04-May-2020

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