articleIEEE Transactions on Industrial InformaticsMar 5, 2012GREEN OA

Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things

SLShancang LiLDLi Da XuXWXinheng Wang

Swansea University · Beijing Institute of Technology

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Abstract

The emerging compressed sensing (CS) theory can significantly reduce the number of sampling points that directly corresponds to the volume of data collected, which means that part of the redundant data is never acquired. It makes it possible to create standalone and net-centric applications with fewer resources required in Internet of Things (IoT). CS-based signal and information acquisition/compression paradigm combines the nonlinear
\nreconstruction algorithm and random sampling on a sparse
\nbasis that provides a promising approach to compress signal and data in information systems. This paper investigates how CS can provide new insights into data sampling and acquisition in wireless sensor networks…

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Topics & keywords

Topics
Keywords
  • Wireless sensor network
  • Computer science
  • Wireless
  • Compressed sensing
  • Internet of Things
  • Data acquisition
  • SIGNAL (programming language)
  • Computer network
UN Sustainable Development Goals
  • Affordable and clean energy
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