View in EDS HTML Full Text PDF Full Text

Experimental Validation of Wavelet-Based Smart Metering Data Compression over SDR Links.

Saved in:
Bibliographic Details
Title: Experimental Validation of Wavelet-Based Smart Metering Data Compression over SDR Links.
Authors: Ruiz, Milton1 (AUTHOR) mruizm@ups.edu.ec, Muñoz-Pilco, Jorge1 (AUTHOR), Cuji, Cristian1 (AUTHOR), Aguila, Alexander1 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2738. 25p.
Subject Terms: *Discrete wavelet transforms, *Data compression, *Smart meters, *Quadrature phase shift keying, *Software radio, *Electric power consumption
Abstract: This study investigates wavelet-based compression of smart-metering data transmitted through a software-defined radio chain implemented in LabVIEW with QPSK modulation and USRP platforms. The objective is to reduce the transmitted payload while preserving the fidelity of the reconstructed electrical load profile. The work combines a mathematical formulation of the DWT-based compression and reconstruction process, a controlled scenario evaluation, and an experimental validation on an SDR testbed. The scenario analysis shows that the compression–reconstruction trade-off is best achieved in an intermediate operating region, where excessive coefficient removal increases reconstruction error despite higher nominal reduction. In the laboratory SDR campaign, Haar wavelet order 1 at the LabVIEW coefficient-retention setting 59 was selected as the most balanced representative configuration, achieving a 60.2% unit-based compression ratio, 10.61% relative error, RMSE = 31.86 and SNR = 16.98 dB . This selection refers to the physical SDR implementation and should not be confused with the public-dataset validation, where bior4.4 level 8 with 40% retained coefficients provided the best offline compression–reconstruction trade-off. Under the tested USRP/LabVIEW configuration, the 5 GHz setup showed shorter channel occupation time than the 915 MHz setup, with lower measured coverage in the same laboratory campaign. The additional validation using the public UCI Individual Household Electric Power Consumption dataset confirmed that DWT compression can preserve load-profile structure under substantial coefficient reduction. Overall, the results indicate that wavelet compression is technically feasible for smart-metering transmission over SDR links when the wavelet family, order, coefficient-retention setting, and radio-link operating conditions are jointly considered. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 194909187
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Experimental Validation of Wavelet-Based Smart Metering Data Compression over SDR Links.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ruiz%2C+Milton%22">Ruiz, Milton</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mruizm@ups.edu.ec</i><br /><searchLink fieldCode="AR" term="%22Muñoz-Pilco%2C+Jorge%22">Muñoz-Pilco, Jorge</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cuji%2C+Cristian%22">Cuji, Cristian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aguila%2C+Alexander%22">Aguila, Alexander</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2738. 25p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Discrete+wavelet+transforms%22">Discrete wavelet transforms</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink><br />*<searchLink fieldCode="DE" term="%22Smart+meters%22">Smart meters</searchLink><br />*<searchLink fieldCode="DE" term="%22Quadrature+phase+shift+keying%22">Quadrature phase shift keying</searchLink><br />*<searchLink fieldCode="DE" term="%22Software+radio%22">Software radio</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates wavelet-based compression of smart-metering data transmitted through a software-defined radio chain implemented in LabVIEW with QPSK modulation and USRP platforms. The objective is to reduce the transmitted payload while preserving the fidelity of the reconstructed electrical load profile. The work combines a mathematical formulation of the DWT-based compression and reconstruction process, a controlled scenario evaluation, and an experimental validation on an SDR testbed. The scenario analysis shows that the compression–reconstruction trade-off is best achieved in an intermediate operating region, where excessive coefficient removal increases reconstruction error despite higher nominal reduction. In the laboratory SDR campaign, Haar wavelet order 1 at the LabVIEW coefficient-retention setting 59 was selected as the most balanced representative configuration, achieving a 60.2% unit-based compression ratio, 10.61% relative error, RMSE = 31.86 and SNR = 16.98 dB . This selection refers to the physical SDR implementation and should not be confused with the public-dataset validation, where bior4.4 level 8 with 40% retained coefficients provided the best offline compression–reconstruction trade-off. Under the tested USRP/LabVIEW configuration, the 5 GHz setup showed shorter channel occupation time than the 915 MHz setup, with lower measured coverage in the same laboratory campaign. The additional validation using the public UCI Individual Household Electric Power Consumption dataset confirmed that DWT compression can preserve load-profile structure under substantial coefficient reduction. Overall, the results indicate that wavelet compression is technically feasible for smart-metering transmission over SDR links when the wavelet family, order, coefficient-retention setting, and radio-link operating conditions are jointly considered. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909187
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19122738
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 2738
    Subjects:
      – SubjectFull: Discrete wavelet transforms
        Type: general
      – SubjectFull: Data compression
        Type: general
      – SubjectFull: Smart meters
        Type: general
      – SubjectFull: Quadrature phase shift keying
        Type: general
      – SubjectFull: Software radio
        Type: general
      – SubjectFull: Electric power consumption
        Type: general
    Titles:
      – TitleFull: Experimental Validation of Wavelet-Based Smart Metering Data Compression over SDR Links.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ruiz, Milton
      – PersonEntity:
          Name:
            NameFull: Muñoz-Pilco, Jorge
      – PersonEntity:
          Name:
            NameFull: Cuji, Cristian
      – PersonEntity:
          Name:
            NameFull: Aguila, Alexander
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1