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Researchers' Work from University of Trento Focuses on Industrial Informatics (Compressive Sensing Optimization for Signal Ensembles in WSNs)

July 1, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Fresh data on Industrial Informatics are presented in a new report. According to news reporting from Trento, Italy, by VerticalNews journalists, research stated, "Compressive sensing (CS) is a new approach to simultaneous sensing and compressing that is highly promising for fully distributed compression in wireless sensor networks (WSNs). While a wide investigation has been performed about theory and practice of CS for individual signals, real and practical cases, in general, involve multiple signals, extending the problem of compression from 1-D single-sensor to 2-D multiple-sensors data."

The news correspondents obtained a quote from the research from the University of Trento, "In this paper the two most prominent frameworks on sparsity and compressibility of multidimensional signals and signal ensembles, Distributed compressed sensing (DCS) and Kronecker compressive sensing (KCS), are investigated. In this paper we compare these two frameworks against a common set of artificial signals properly built to embody the main characteristics of natural signals. We further investigate how, in a real deployment, DCS can be used to reduce the power consumption and to prolong lifetime."

According to the news reporters, the research concluded: "In particular an extensive analysis is performed using real commercial off-the-shelf (COTS) hardware evaluating how different kind of compression matrices can affect the jointly reconstruction, trying to achieve the better tradeoff between quality and energy expenditure."

For more information on this research see: Compressive Sensing Optimization for Signal Ensembles in WSNs. IEEE Transactions on Industrial Informatics, 2014;10(1):382-392. IEEE Transactions on Industrial Informatics can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Industrial Informatics - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424)

Our news journalists report that additional information may be obtained by contacting C. Caione, Univ Trento, DII, I-38123 Trento, Italy. Additional authors for this research include D. Brunelli and L. Benini.

Keywords for this news article include: Italy, Trento, Europe, Industrial Informatics

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Source: Information Technology Newsweekly


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