Abstract
Vehicular networks, as a significant technology in intelligent transportation systems, improve the convenience, efficiency, and safety of driving in smart cities. However, because of the high velocity, the frequent topology change, and the limited bandwidth, it is difficult to efficiently propagate data in vehicular networks. This paper proposes a data dissemination scheme based on fuzzy logic and network coding for vehicular networks, named SFN. It uses fuzzy logic to compute a transmission ability for each vehicle by comprehensively considering the effects of three factors: the velocity change rate, the velocity optimization degree, and the channel quality. Then, two nodes with high abilities are selected as primary backbone and slave backbone in every road segment, which propagate data to other vehicles in this segment and forward them to the backbones in the next segment. The backbone network helps to increase the delivery ratio and avoid invalid transmissions. Additionally, network coding is utilized to reduce transmission overhead and accelerate data retransmission in interbackbone forwarding and intrasegment broadcasting. Experiments show that, compared with existing schemes, SFN has a high delivery ratio and a short dissemination delay, while the backbone network keeps high reliability.
Highlights
Vehicular networks, as a promising technology for intelligent transportation systems, usually utilize vehicle-to-vehicle (V2V) communications to support data services when no fixed infrastructures are deployed
The backbone nodes are selected according to the transmission abilities of all the vehicles in this segment, which are calculated by fuzzy logic and comprehensive consideration of the vehicle velocity change rate, the velocity optimization degree, and the channel quality
The backbone nodes with suitable velocity and good channel quality help to improve the transmission efficiency, while the network coding in intrasegment broadcast and intersegment forwarding may enhance the utilization of limited communication resources
Summary
As a promising technology for intelligent transportation systems, usually utilize vehicle-to-vehicle (V2V) communications to support data services when no fixed infrastructures are deployed. A data dissemination scheme based on fuzzy logic and network coding in vehicular networks is proposed, named SFN. Based on network coding, an efficient forwarding and retransmission algorithm is designed for both intersegment and intrasegment communications. It helps in reducing and accelerating the retransmissions; the resource consumption decreases and the dissemination latency is shortened. (1) Construct a backbone network composed of two backbone nodes in each road segment to support data transmissions between road segments This backbone network utilizes fuzzy logic to select backbones based on three factors: the velocity change rate, the velocity optimization degree, and the channel quality. This improvement is because backbone nodes encode and decode the data packets, leading to a small transmission overhead and a quick data recovery
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