Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications

Mauro Mangia, Fabio Pareschi, Rohan Varma, Riccardo Rovatti, Jelena Kovacevic, Gianluca Setti

Research output: Contribution to journalArticle

Abstract

Signals on multiple graphs may model IoT scenarios consisting of a local wireless sensor network performing sets of acquisitions that must be sent to a central hub that may be far from the measurement field. Rakeness-based design of compressed sensing is exploited to allow the administration of the tradeoff between local communication and the long-range transmission needed to reach the hub. Extensive Monte Carlo simulations incorporating real world figures in terms of communication consumption show a potential energy saving from 25% to almost 50% with respect to a direct approach not exploiting local communication and rakeness.

Original languageEnglish (US)
Pages (from-to)682-686
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume65
Issue number5
DOIs
StatePublished - May 1 2018

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Compressed sensing
Communication
Potential energy
Wireless sensor networks
Energy conservation
Internet of things

Keywords

  • compressed sensing
  • Internet of Things
  • rakeness
  • Signals on graphs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications. / Mangia, Mauro; Pareschi, Fabio; Varma, Rohan; Rovatti, Riccardo; Kovacevic, Jelena; Setti, Gianluca.

In: IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 65, No. 5, 01.05.2018, p. 682-686.

Research output: Contribution to journalArticle

Mangia, Mauro ; Pareschi, Fabio ; Varma, Rohan ; Rovatti, Riccardo ; Kovacevic, Jelena ; Setti, Gianluca. / Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications. In: IEEE Transactions on Circuits and Systems II: Express Briefs. 2018 ; Vol. 65, No. 5. pp. 682-686.
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