Distributed source coding for sensor networks

By Zixiang Xiong, Angelos D. Liveris, Samuel Cheng. IEEE Signal Processing Magazine, 2004

838 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/47ccf1098d00cafbfaf4d2c0aa88750b24d4a6a0

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

Distributed Video Coding (2005, methodology): “Xiong et al. [44], [45] implemented a Wyner–Ziv encoder as a nested lattice quantizer followed by a Slepian–Wolf coder, and in [46], a trellis-coded quantizer was used instead (see also [47]).”
A Survey of Visual Sensor Networks (2009, background): “Since DSC should be implemented in the upper layers of the network stack, it a ﬀ ects all the other layers below [75].”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, background): “Distributed Source Coding (DSC) [Xiong et al. 2004] refers to the compression of multiple correlated sources, physically separated, that do not communicate with each other (thus distributed coding).”
A survey of multimedia streaming in wireless sensor networks (2008, background): “Nevertheless, distributed source coding is a very promising mechanism for video/image coding in multimedia wireless sensor networks and we refer the reader to [33]–[35] for more details on the basics of distributed source coding.”
A survey on wireless multimedia sensor networks (2007, background): “The reader is referred to [131,50] for excellent surveys on the state of the art of distributed source coding in sensor networks and in distributed video coding, respectively.”
Energy conservation in wireless sensor networks: A survey (2009, methodology): “There are different methods to compress data (see, e.g., [105], [129], [143] [144]).”
Efficient Compression of Encrypted Grayscale Images (2010, background): “We can consider that there is a virtual channel between the source and the SI [10].”
In-network aggregation techniques for wireless sensor networks: a survey (2007, background): “erence [23] gives a good survey on DSC techniques and related open issues in this emerging field.”
Distributed Compressive Sensing (2009, neutral): “Insuchsettings,distributedsourcecodingthatexploitsbothintra-andinter-signal correlationsmightallowthenetworktosaveonthecommunicationcostsinvolvedinexportingthe ensembleofsignalstothecollectionpoint[13] [14] [15] [16] [17].”