Data extraction from wireless sensor networks using distributed fountain codes

A Wireless Sensor Network (WSN) observes a natural field and aims to recreate it with sufficient fidelity at a, perhaps distant, Fusion Center (FC) using a wireless communication channel of arbitrary capacity. We propose a universal and power efficient method for such data extraction, based on Digit...

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Veröffentlicht in:	IEEE transactions on communications Jg. 57; H. 9; S. 2607 - 2618
Hauptverfasser:	Oka, Anand, Lampe, Lutz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Channel capacity Channels Coding, codes Computer applications Data mining Decoding Delay Detection, estimation, filtering, equalization, prediction Digital-to-frequency converters distributed compression Energy consumption Exact sciences and technology Extraction fountain codes Information, signal and communications theory Iterative decoding joint source-channel decoding Networks Reconstruction Sensors Services and terminals of telecommunications Signal and communications theory Signal, noise Spatiotemporal phenomena Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission and modulation (techniques and equipments) Wireless communication Wireless communications Wireless sensor networks Performance evaluation Parameter estimation Source separation Wireless telecommunication Signal estimation Information rate Joint source channel coding Iterative decoding Implementation Remote sensing fountain codes Signal detection Multistage method Channel capacity Rate distortion theory Transmission channel Information transmission Wireless sensor networks Concatenation Power consumption Telecommunication channels Signal processing Wireless network Sensor array distributed compression joint source-channel decoding
ISSN:	0090-6778, 1558-0857
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Zusammenfassung:	A Wireless Sensor Network (WSN) observes a natural field and aims to recreate it with sufficient fidelity at a, perhaps distant, Fusion Center (FC) using a wireless communication channel of arbitrary capacity. We propose a universal and power efficient method for such data extraction, based on Digital Fountain Codes (DFCs) and joint-source channel decoding. Our method implements a distributed `rate-lessiquest DFC which automatically tunes the number of transmissions to the channel capacity. Furthermore, instead of directly compressing the WSN data, we achieve rate reduction by treating the spatiotemporal dependencies in the field as an outer code, and jointly decoding this concatenation at the FC using a multi-stage iterative decoder. We demonstrate that a power efficiency close to the capacity-rate-distortion limit is achieved at moderate distortion levels, irrespective of the channel capacity or field dependencies. As compared to the traditional approach of source-channel separation, the proposed data extraction scheme is particularly attractive for WSN applications due its computationally simple encoding procedure, low latency and the ability to seamlessly trade-off fidelity of reconstruction for power consumption.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2009.080143