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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 6834053, 16 pages
https://doi.org/10.1155/2017/6834053
Research Article

Data Dissemination Based on Fuzzy Logic and Network Coding in Vehicular Networks

1College of Information Engineering, Capital Normal University, Beijing 100048, China
2Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA

Correspondence should be addressed to Wenlong Chen; nc.ude.unc@gnolnewnehc

Received 31 March 2017; Revised 20 July 2017; Accepted 3 August 2017; Published 10 September 2017

Academic Editor: Petros Nicopolitidis

Copyright © 2017 Xiaolan Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.