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Compression via channel coding - Distributed source coding for sensor networks
Abstract
In recent years, sensor research has been undergoing a quiet revolution, promising to have a significant impact throughout society that could quite possibly dwarf previous milestones in the information revolution. Realizing the great promise of sensor networks requires more than a mere advance in individual technologies. It relies on many components working together in an efficient, unattended, comprehensible, and trustworthy manner. One of the enabling technologies in sensor networks is the distributed source coding (DSC), which refers to the compression of the multiple correlated sensor outputs that does not communicate with each other. DSC allows a many-to-one video coding paradigm that effectively swaps encoder-decoder complexity with respect to conventional video coding, thereby representing a fundamental concept shift in video processing. This article has presented an intensive discussion on two DSC techniques, namely Slepian-Wolf coding and Wyner-Ziv coding. The Slepian and Wolf coding have theoretically shown that separate encoding is as efficient as joint coding for lossless compression in channel coding.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Cited by
In-network aggregation techniques for wireless sensor networks: a survey
Fasolo, E., Rossi, M., Widmer, J., & Zorzi, M. (2007) · IEEE Wireless Communications · doi:10.1109/mwc.2007.358967 · Cited by 734
A Survey of Visual Sensor Networks
Soro, S., & Heinzelman, W. (2009) · Advances in Multimedia · doi:10.1155/2009/640386 · Cited by 445
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO
Sohrabi, F., Attiah, K. M., & Yu, W. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3055202 · Cited by 169
Metadata
- Authors
- Xiong, Z., Liveris, A. D., & Cheng, S.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2004-09
- Volume
- 21
- Issue
- 5
- Pages
- 80-94
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2162404506
- Cited by
- 739
- References
- 1
- FWCI
- 49.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Xiong, Z., Liveris, A. D., & Cheng, S. (2004). Compression via channel coding - Distributed source coding for sensor networks. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2004.1328091
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