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Sensors 2015, 15(2), 2737-2762; doi:10.3390/s150202737

Surveying Multidisciplinary Aspects in Real-Time Distributed Coding for Wireless Sensor Networks

1
Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture (DITEN), University of Genoa, Via Opera Pia 13, 16145 Genoa, Italy
2
National Inter-University Consortium for Telecommunications (CNIT)–University of Genoa Research Unit, Via Opera Pia 13, 16145 Genoa, Italy
3
Institute of Electronics, Computer and Telecommunication Engineering, National Research Council of Italy (IEIIT-CNR), Genoa Site, Area della Ricerca, Via De Marini, 6-16149 Genoa, Italy
*
Author to whom correspondence should be addressed.
Received: 28 October 2014 / Revised: 26 November 2014 / Accepted: 16 January 2015 / Published: 27 January 2015
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy 2014)
View Full-Text   |   Download PDF [1004 KB, uploaded 27 January 2015]   |  

Abstract

Wireless Sensor Networks (WSNs), where a multiplicity of sensors observe a physical phenomenon and transmit their measurements to one or more sinks, pertain to the class of multi-terminal source and channel coding problems of Information Theory. In this category, “real-time” coding is often encountered for WSNs, referring to the problem of finding the minimum distortion (according to a given measure), under transmission power constraints, attainable by encoding and decoding functions, with stringent limits on delay and complexity. On the other hand, the Decision Theory approach seeks to determine the optimal coding/decoding strategies or some of their structural properties. Since encoder(s) and decoder(s) possess different information, though sharing a common goal, the setting here is that of Team Decision Theory. A more pragmatic vision rooted in Signal Processing consists of fixing the form of the coding strategies (e.g., to linear functions) and, consequently, finding the corresponding optimal decoding strategies and the achievable distortion, generally by applying parametric optimization techniques. All approaches have a long history of past investigations and recent results. The goal of the present paper is to provide the taxonomy of the various formulations, a survey of the vast related literature, examples from the authors’ own research, and some highlights on the inter-play of the different theories. View Full-Text
Keywords: single-hop wireless sensor networks; distributed coding; decision theory; signal processing; optimization single-hop wireless sensor networks; distributed coding; decision theory; signal processing; optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Braccini, C.; Davoli, F.; Marchese, M.; Mongelli, M. Surveying Multidisciplinary Aspects in Real-Time Distributed Coding for Wireless Sensor Networks. Sensors 2015, 15, 2737-2762.

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