Journal Article10.1109/MSP.2004.1328091
Distributed source coding for sensor networks
849
TL;DR: In this article, the authors presented an intensive discussion on two distributed source coding (DSC) techniques, namely Slepian-Wolf coding and Wyner-Ziv coding, and showed that separate encoding is as efficient as joint coding for lossless compression in channel coding.
read more
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.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Energy conservation in wireless sensor networks: A survey
Giuseppe Anastasi,Marco Conti,Mario Di Francesco,Andrea Passarella +3 more
- 01 May 2009
TL;DR: This paper breaks down the energy consumption for the components of a typical sensor node, and discusses the main directions to energy conservation in WSNs, and presents a systematic and comprehensive taxonomy of the energy conservation schemes.
A survey on wireless multimedia sensor networks
TL;DR: Existing solutions and open research issues at the application, transport, network, link, and physical layers of the communication protocol stack are investigated, along with possible cross-layer synergies and optimizations.
2.4K
Distributed Video Coding
Bernd Girod,Anne Aaron,Shantanu Rane,David Rebollo-Monedero +3 more
- 27 Jun 2005
TL;DR: The recent development of practical distributed video coding schemes is reviewed, finding that the rate-distortion performance is superior to conventional intraframe coding, but there is still a gap relative to conventional motion-compensated interframe coding.
1.4K
In-network aggregation techniques for wireless sensor networks: a survey
TL;DR: A comprehensive review of the existing literature on techniques and protocols for in-network aggregation in wireless sensor networks is provided, and suitable criteria to classify existing solutions are defined.
Information fusion for wireless sensor networks: Methods, models, and classifications
TL;DR: This work surveys the current state-of-the-art of information fusion by presenting the known methods, algorithms, architectures, and models, and discusses their applicability in the context of wireless sensor networks.
656
References
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
74.4K
•Book
Elements of information theory
Thomas M. Cover,Joy A. Thomas +1 more
- 01 Jan 1991
TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
A survey on sensor networks
TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
•Book
Low-Density Parity-Check Codes
Robert G. Gallager
- 01 Jan 1963
TL;DR: A simple but nonoptimum decoding scheme operating directly from the channel a posteriori probabilities is described and the probability of error using this decoder on a binary symmetric channel is shown to decrease at least exponentially with a root of the block length.
•Book
Vector Quantization and Signal Compression
Allen Gersho,Robert M. Gray +1 more
- 01 Jan 1991
TL;DR: The author explains the design and implementation of the Levinson-Durbin Algorithm, which automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing a Quantizer.
8K