A digital fountain approach to asynchronous reliable multicast
By John W. Byers, Michael Luby, Michael M. Mitzenmacher. IEEE J. Sel. Areas Commun., 2002
639 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d4afaaab1f34b03115d85216ad59706f3acc25c5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Michael Luby
- John W. Byers
- Kevin R. Fall
- Michael J. Demmer
- Sushant Jain
- Rabin K. Patra
- Michael M. Mitzenmacher
- Andreas Willig
In Computer Networks and Communications
- Michael Luby
- Michael M. Mitzenmacher
- Richard Baraniuk
- John W. Byers
- Kevin R. Fall
- Sushant Jain
- Rabin K. Patra
- Michael J. Demmer
Citations in the corpus
- Peak-To-Average Power Ratio Reduction in OFDM Systems: A Survey And Taxonomy (2013, background): “In [170] the authors proposed the use of fountain codes [171] to control the PAPR of OFDM signals.”
- Recent and Emerging Topics in Wireless Industrial Communications: A Selection (2008, background): “Out of these fragments a number of fragments is created by applying a certain coding scheme known as erasure codes or fountain codes [124], [125].”
- Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (2012, background): “Video Coding: Layered or multiple description coding offers more graceful degradation of video quality (e.g., [17]).”
- Informed content delivery across adaptive overlay networks (2002, background): “Current implementations are capable of efficiently reconstructing the file, having received only a few percent more than the number of symbols in the original file [9], [18], [19].”
- Bayesian Compressive Sensing Via Belief Propagation (2008, background): “In an analogous manner to a digital fountain [59], the marginal distributions (6) enable us to identify when sufficient information for signal decoding has been received.”
- Using redundancy to cope with failures in a delay tolerant network (2005, methodology): “At the same time, erasure coding techniques have long been used to cope with partial data loss efficiently [3].”
- LT codes (2002, methodology): “…of the sender and the network is of paramount importance , feedback to the sender needs to be limited and sending packets that are redundant for some receivers is wasteful, reliability may be able to be provided using erasure codes as described in [21], [28], [26], [27], [22], [23], [9] [7] [6].”