Mobile Information Systems

Mobile Information Systems / 2012 / Article

Open Access

Volume 8 |Article ID 647342 | 15 pages |

Reconfigurable and Parallelized Network Coding Decoder for VANETs

Received16 Feb 2012
Accepted16 Feb 2012


Network coding is a promising technique for data communications in wired and wireless networks. However, it places an additional computing overhead on the receiving node in exchange for the improved bandwidth. This paper proposes an FPGA-based reconfigurable and parallelized network coding decoder for embedded systems especially for vehicular ad hoc networks. In our design, rapid decoding process can be achieved by exploiting parallelism in the coefficient vector operations. The proposed decoder is implemented by using a modern Xilinx Virtex-5 device and its performance is evaluated considering the performance of the software decoding on various embedded processors. The performance on four different sizes of the coefficient matrix is measured and the decoding throughput of 18.3 Mbps for the size 16 × 16 and 6.5 Mbps for 128 × 128 has been achieved at the operating frequency of 64.5 MHz. Compared to the recent TEGRA 250 processor, the result obtained with128 × 128 coefficient matrix reaches up to 5.06 in terms of speedup.

Copyright © 2012 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

205 Views | 323 Downloads | 4 Citations
 PDF  Download Citation  Citation
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.