Multiterminal Source Coding With Copula Regression for Wireless Sensor Networks Gathering Diverse Data

Efficient data compression at a low processing and communication cost is a key challenge in wireless sensor networks. In this paper, we propose a novel multiterminal source code design, which, contrary to prior work, utilizes both the intra- and the inter-sensor data dependences. The former is explo...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 17; no. 1; pp. 139 - 150
Main Authors:	Zimos, Evangelos, Toumpakaris, Dimitris, Munteanu, Adrian, Deligiannis, Nikos
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Arithmetic coding Coders Copula regression Data compression Decoding differential pulse-code modulation (DPCM) distributed source coding (DSC) Experimentation Mathematical analysis multiterminal (MT) source coding Sensors Source code Source coding Statistical analysis Statistical models Temperature measurement Temperature sensors Wireless networks Wireless sensor networks Wireless sensor networks (WSNs)
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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