In this study, we propose a variation of the RAdNet for vehicular environments (RAdNet-VE). The proposed scheme extends the message header, mechanism for registering interest, and message forwarding mechanism of RAdNet. To obtain results, we performed simulation experiments involving two use scenarios and communication protocols developed from the Veins framework. Based on results obtained from these experiments, we compare the performance of RAdNet-VE against that of RAdNet, a basic content-centric network (CCN) using reactive data routing, (CCN @math ), and a basic CCN using proactive data routing, CCN @math . These CCNs provide non-cacheable data services. Moreover, the communication radio standards adopted in the scenarios 1 and 2 were respectively IEEE 802.11n and IEEE 802.11p. The results shown that the performance of the RAdNet-VE was superior to than those of RAdNet, CCN @math and CCN @math . In this sense, RAdNet-VE protocol (RVEP) presented low communication latencies among nodes of just 20.4ms (scenario 1) and 2.87 ms (scenario 2). Our protocol also presented high data delivery rates, i.e, 83.05 (scenario 1) and 88.05 (scenario 2). Based on these and other results presented in this study, we argue that RAdNet-VE is a feasible alternative to CCNs as information-centric network (ICN) model for VANET, because the RVEP satisfies all of the necessary communication requirements.
@cite_4 @cite_3 proposed the CRoWN architecture @cite_4 and content-centric vehicular networking (CCVN) @cite_3 . They proposed a CCN-based framework for VANETs, and evaluated its performance using the IEEE 802.11p standard. According to @cite_4 , CCN-based VANETs exhibit better performance than IP-based VANETs in terms of data transmission and the load balance of vehicles in the network, and suffer less performance degradation as the data volume increases. Moreover, the authors divided the interest packets into two sub-types basic interests (B-Int) and advanced interests (A-Int). B-Int was sent when a consumer wished to discover content and requested the first segment, whereas A-Int was used to request subsequent content from previously discovered providers. Moreover, the authors introduced a new data structure named the content provider table (CPT) to replace the forwarding information base (FIB). The CPT stores information regarding providers that have already been discovered and associates the MAC address of these nodes with the content. Thus, the authors discarded the main CCN premise, which is the independence of content from its physical location. This conceptual rupture of the original CCN proposal may compromise the support of the mobility of the nodes.
@cite_4 @cite_3
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Content-centric networking is a new paradigm conceived for future Internet architectures, where communications are driven by contents instead of host addresses. This paradigm has key potentialities to enable effective and efficient communications in the challenging vehicular environment characterized by short-lived connectivity and highly dynamic network topologies. We design CRoWN, a content-centric framework for vehicular ad-hoc networks, which is implemented on top of the IEEE 802.11p standard layers and is fully compliant with them. Performance comparison against the legacy IP-based approach demonstrates the superiority of CRoWN, thus paving the way for content-centric vehicular networking. Content-Centric Networking (CCN) is a new popular communication paradigm that achieves information retrieval and distribution by using named data instead of end-to-end host-centric communications. This innovative model particularly fits mobile wireless environments characterized by dynamic topologies, unreliable broadcast channels, short-lived and intermittent connectivity, as proven by preliminary works in the literature. In this paper we extend the CCN framework to efficiently and reliably support content delivery on top of IEEE 802.11p vehicular technology. Achieved results show that the proposed solution, by leveraging distributed broadcast storm mitigation techniques, simple transport routines, and lightweight soft-state forwarding procedures, brings significant improvements w.r.t. a plain CCN model, confirming the effectiveness and efficiency of our design choices.