Collaborative Content Distribution for Vehicular Ad Hoc Networks
Authors:
Mark Johnson,
Luca De Nardis, and
Kannan Ramchandran
Reference:
Proc. Allerton Conference on Communication, Control, and Computing 2006.
Abstract:
The proliferation of low-cost wireless connectivity, combined with the
growth of distributed peer-to-peer cooperative systems, is changing
the way in which next-generation vehicular networks will evolve. In
this paper, we address the problem of low-latency content distribution
(multicast streaming) to a dense vehicular highway network from roadside
infostations, using efficient multihop vehicle-to-vehicle collaboration.
Due to the highly dynamic nature of the underlying vehicular network
topology, we depart from architectures requiring centralized coordination,
reliable MAC scheduling, or global network state knowledge, and instead adopt
a distributed and minimally coordinated paradigm. We establish the
viability of our approach with both analysis and extensive simulations. Our
study is motivated by questions such as ``what is the network
capacity?" and ``how many infostations are needed to realize a target
throughput and latency?"
The key ingredient in our approach is the use of multihop randomized
network coding to efficiently distribute the content in the vehicular
network. Specifically, we show that in the limit of a highly dense
network, our decentralized approach can attain a multicast throughput
that is up to a factor of 1/e of the throughput which could be
achieved by perfectly scheduling all packets in the network. Further,
the gains of using randomized network coding over classical
store-and-forward multihop routing strategies can be significant, as
measured by the throughput received at a vehicle as a function of the
distance between that vehicle and the nearest infostation. This in
turn translates into a significant decrease in the number of roadside
infostations required to meet desired throughput and latency
constraints for specific streaming applications.
This paper is available in PDF format.