Recently, vehicular sensor networks (VSNs) have emerged as a new intelligent transport networkingparadigm in the Internet of Things. By sensing, collecting, and delivering traffic-related information,VSNs can significantly improve both driving experience and traffic flow control, especially in constrainedurban environments. Latest technological advances enable vehicular devices to be equipped with multiplewireless interfaces, which can support cooperative communications for concurrent multipath transfer(CMT) in VSNs. However, path heterogeneity and vehicle mobilitycauseCMT not to achieve the samehigh transport efficiency recorded in wired nonmobile network environments. This paper proposes anovel vehicular network-based CMT solution (VN-CMT) to address the above issues and improvedata delivery efficiency. VN-CMT is based on a CMT disorder analytic model which can effectively andaccurately evaluate the degree of out-of-order data. Based on this proposed model, a series of mechanismsare introduced as follows: (1) a packet disorder-reducing retransmission policy to reduce retransmission delay; (2) apath group selection algorithm to find the best path set for data multipath concurrent transfer; and (3) adata scheduling mechanism to distribute data according to each path’s capacity. Simulation results showhow VN-CMT improves data delivery efficiency in comparison with an existing state-of-the-art solution.
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