Analysis and simulation of a content delivery application for vehicular wireless networks
Performance Evaluation
Supporting vehicular mobility in urban multi-hop wireless networks
Proceedings of the 6th international conference on Mobile systems, applications, and services
Cabernet: vehicular content delivery using WiFi
Proceedings of the 14th ACM international conference on Mobile computing and networking
An empirical model for probability of packet reception in vehicular ad hoc networks
EURASIP Journal on Wireless Communications and Networking - Special issue on wireless access in vehicular environments
An intelligent infotainment dissemination scheme for heterogeneous vehicular networks
Expert Systems with Applications: An International Journal
IEEE Transactions on Information Theory
Sharing hardware resources in heterogeneous computer-supported collaboration scenarios
Integrated Computer-Aided Engineering
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Vehicular networking is a new field that is expected to be widely adopted in the near future. One of the key applications inherent to this novel communications paradigm is content delivery to on-board users. In this paper we focus specifically on the design of a robust and efficient broadcast-based content delivery system. In order to reduce the content delivery time to a minimum, we first optimize performance by seeking the optimal packet size for content delivery. This goal is achieved by combining analytical and simulation results, and considering both static and mobile receivers at different distances from the transmitter. Moreover, we develop a full architecture that integrates the FLUTE protocol with different Forward Error Correction (FEC) schemes to achieve efficient content distribution. Through real experiments in a vehicular testbed we demonstrate that Raptor codes are the best option among the different FEC schemes available. In addition, as vehicle speed and/or distance from the broadcasting antenna increases, performance results highlight that adopting efficient FEC schemes becomes mandatory to achieve efficient and reliable data content delivery.