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2018 | OriginalPaper | Chapter

Reliable Content Delivery in Lossy Named Data Networks Based on Network Coding

Authors : Rui Xu, Hui Li, Huayu Zhang

Published in: Algorithms and Architectures for Parallel Processing

Publisher: Springer International Publishing

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Abstract

Named Data Networking (NDN) is a new content transmission and retrieval network architecture, its network cache and request mechanism can improve network transmission performance and reduce transmission delay. Network coding has been considered as especially suitable for latency and lossy network, providing reliable multicast transport without requiring feedback from receivers. However, for network coding, the best practical advantage is robustness and adaptability, without caring the change of networks. The purpose of this paper is to improve the reliability of content delivery in lossy NDN networks by network coding. In this paper, we use network coding as an error control technique in NDN. We analyze the performance of network coding compared with automatic repeat request (ARQ) and forward error correction (FEC) technique in lossy NDN networks. We confirm that network coding can reduce the number of packets retransmitted in lossy NDN networks. Extensive real physical emulation shows that network coding reduces the number of packet retransmission and improves the reliability of content delivery in lossy NDN networks.

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Metadata
Title
Reliable Content Delivery in Lossy Named Data Networks Based on Network Coding
Authors
Rui Xu
Hui Li
Huayu Zhang
Copyright Year
2018
Book
Algorithms and Architectures for Parallel Processing

Print ISBN: 978-3-030-05062-7

Electronic ISBN: 978-3-030-05063-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-05063-4_4

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