A study of distributed compressive sensing for the Internet of Things (IoT)

Mohamed Shaban, Ahmed Abdelgawad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Compressive sensing (CS) has been very useful for the Internet of Things (IoT). CS aims to reduce the number of samples acquired and transmitted by a sensor node using a low complex sampling operation. Furthermore, distributed compressive sensing (DCS) was introduced where the compressively sampled sensors' readings are jointly recovered at the fusion center rather than being recovered separately as in the CS. As a result, a reduction in the number of required measurements as well as the complexity of the sensor nodes is achieved. None of the previous works had studied the performance of DCS for sensed signals with abnormalities caused by sensor malfunctioning, sudden changes in temperature, or humidity. (i.e., practical IoT networks). In this paper, we extensively study the performance of DCS when signals with abnormalities are considered using simulations. The results show that DCS outperforms CS in successfully recovering signals with abnormalities.

Original languageEnglish
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-178
Number of pages6
ISBN (Electronic)9781467399449
DOIs
StatePublished - May 4 2018
Event4th IEEE World Forum on Internet of Things, WF-IoT 2018 - Singapore, Singapore
Duration: Feb 5 2018Feb 8 2018

Publication series

NameIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
Volume2018-January

Conference

Conference4th IEEE World Forum on Internet of Things, WF-IoT 2018
Country/TerritorySingapore
CitySingapore
Period02/5/1802/8/18

Keywords

  • Compressive Sensing
  • Distributed Compressive Sensing
  • Internet of Things
  • Wireless Sensor Networks

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