Near-sensor and in-sensor computing

Feichi Zhou, Yang Chai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

28 Citations (Scopus)

Abstract

The number of nodes typically used in sensory networks is growing rapidly, leading to large amounts of redundant data being exchanged between sensory terminals and computing units. To efficiently process such large amounts of data, and decrease power consumption, it is necessary to develop approaches to computing that operate close to or inside sensory networks, and that can reduce the redundant data movement between sensing and processing units. Here we examine the concept of near-sensor and in-sensor computing in which computation tasks are moved partly to the sensory terminals. We classify functions into low-level and high-level processing, and discuss the implementation of near-sensor and in-sensor computing for different physical sensing systems. We also analyse the existing challenges in the field and provide possible solutions for the hardware implementation of integrated sensing and processing units using advanced manufacturing technologies.

Original languageEnglish
Pages (from-to)664-671
Number of pages8
JournalNature Electronics
Volume3
Issue number11
DOIs
Publication statusPublished - Nov 2020

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Electrical and Electronic Engineering

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