A practical joint network-channel coding scheme for reliable communication in wireless networks

Guo, Zheng; Huang, Jie; Wang, Bing; Cui, Jun-Hong; Zhou, Shengli; Willett, Peter

doi:10.1145/1530748.1530787

Cited by 33 publications

(36 citation statements)

References 25 publications

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“…An LDPC code with length N = 1000, dimension K = 800 symbols over GF (16) is used for all simulations. This is the same LDPC code used in [17], with average variable node degree 2.8. The results are compared to those of NB-JNCD over a range of SNR on the Rayleigh block fading channel.…”

Section: Resultsmentioning

confidence: 99%

“…Non-binary joint network-channel decoding (NB-JNCD) combines channel coding and network coding by introducing an iterative decoder that passes messages between a non-binary LDPC decoder and a random linear network decoder [16], [17]. Both LDPC coding and network coding operate over the same Galois field GF (q).…”

Section: Non-binary Joint Network-channel Codingmentioning

confidence: 99%

“…3) Network Decoding: The network decoding portion of the NB-JCCND is done using the same approach described in Section II-C, and introduced in [17].…”

Section: CDmentioning

confidence: 99%

“…The above schemes are based on networks with specific topologies using binary symbols, and cannot be directly applied to general wireless network topologies with non-binary coding. More recently, non-binary joint network-channel decoding (NB-JNCD) [16], [17] has been introduced as a practical scheme that can be applied to general network topologies (e.g., wireless sensor networks) by combining non-binary channel coding and random linear network coding using high-order modulation schemes for improved bandwidth efficiency. An iterative two-tier decoding scheme is used by NB-JNCD to jointly exploit redundancy inside packets (channel coding) and across packets (network coding) for error recovery.…”

Section: Introductionmentioning

confidence: 99%

“…The following review of LDPC codes and random linear network coding is given before reviewing the NB-JNCD scheme of [17].…”

Section: Introductionmentioning

confidence: 99%

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Non-binary joint network-channel decoding of correlated sensor data in wireless sensor networks

Guha

Psota

Pérez

2011

2011 IEEE Wireless Communications and Networking Conference

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Abstract-The performance of non-binary joint networkchannel decoding (NB-JNCD) is examined in wireless sensor networks with correlated sensors. The operating assumption is that systems containing multiple sensors in close proximity obtain correlated measurements. It is shown that, when the correlation model between sensors is known at the sink, the addition of a correlationbased decoder within the decoding framework greatly improves the error rate performance. Simulation results also indicate that the proposed correlation-based decoder is comparable to source coding across the correlated sensors in terms of error rate, while eliminating the need for costly sensor-to-sensor communication.

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Section: Resultsmentioning

confidence: 99%

Section: Non-binary Joint Network-channel Codingmentioning

confidence: 99%

“…3) Network Decoding: The network decoding portion of the NB-JCCND is done using the same approach described in Section II-C, and introduced in [17].…”

Section: CDmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The following review of LDPC codes and random linear network coding is given before reviewing the NB-JNCD scheme of [17].…”

Section: Introductionmentioning

confidence: 99%

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Non-binary joint network-channel decoding of correlated sensor data in wireless sensor networks

Guha

Psota

Pérez

2011

2011 IEEE Wireless Communications and Networking Conference

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Robust Network Coding

2012

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Robust Wireless Network Coding – An Overview

Renzo

Iwaza

Kieffer

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Network Coding (NC) has witnessed a tremendous upsurge in interest and activities in recent years, both in academia and industry. Indeed, since the pioneering publication of Ahlswede et al. in 2000, NC has rapidly emerged as a major research area in information theory due to its wide applicability to communication through real networks. The many contributions available in the literature to date, ranging from purely theoretical studies on fundamental limits to practical experimentations in real-world environments, offer a clear evidence that the shift in paradigm envisaged by NC might revolutionize the way we manage, operate, and understand the organization of networks. However, the principle of NC is not without its limitations. Initial studies on NC were mainly focused on lossless channels, which, however, might have limited applicability to a wireless context. As a matter of fact, in practical wireless environments, NC might be very susceptible to transmission errors caused by noise, fading, or interference. In particular, the algebraic operations accomplished by the intermediate nodes of the network introduce some packet dependencies in a way that the injection of even a single erroneous packet has the potential to corrupt every packet received by the destination nodes. Motivated by this consideration, recent research efforts have been devoted to the design of robust NC, with the main goal to circumvent the critical limitations of the NC paradigm in practical operating environments. In this paper, we aim at providing an overview of the most important and notable research directions in this emerging field.

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A practical joint network-channel coding scheme for reliable communication in wireless networks

Cited by 33 publications

References 25 publications

Non-binary joint network-channel decoding of correlated sensor data in wireless sensor networks

Non-binary joint network-channel decoding of correlated sensor data in wireless sensor networks

Robust Network Coding

Robust Wireless Network Coding – An Overview

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