RAdNet-VE: An Interest-Centric Mobile Ad Hoc Network for Vehicular Environments
F. B. Gon\c{c}alves, F. M. G. Fran\c{c}a, C. L. Amorim

TL;DR
This paper introduces RAdNet-VE, an interest-centric network protocol optimized for vehicular environments, demonstrating superior performance over traditional content-centric networks in simulations.
Contribution
The study extends RAdNet for vehicular use, proposing new message registration and forwarding mechanisms, and validates its effectiveness through simulation comparisons.
Findings
RAdNet-VE achieves low latency of 20.4ms and 2.87ms in two scenarios.
Data delivery rates of 83.05% and 88.05% demonstrate high reliability.
RAdNet-VE outperforms RAdNet and basic CCNs in vehicular communication simulations.
Abstract
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), and a basic CCN using proactive data routing, CCN. 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 and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Mobile Ad Hoc Networks · Opportunistic and Delay-Tolerant Networks
