Big Data Dimensionality Reduction at IoT Edge through Optical Graph Signal Processing

Alireza Khodaei, Jitender Deogun, Dennis Alexander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce an innovative edge computing paradigm for big data dimensionality reduction in IoT networks through employing an underlying Graph Signal Processing (GSP) model-alternatively to von Neumann architecture for conventional computing. We realize a new breed of graph filters by instituting photonic wave interference in standard WDM optical communication systems, and thereby, we embody GSP in an optical computation context. Our proposed filter instantaneously takes the average of large-scale multidimensional data while is in transit from IoT edge to its core. Through co-using the communication resources for computation, our work motivates a modern IoT edge computing paradigm based on using a collective pool of computation and communication resources. Our solution saves a significant amount of processing delay, investment in cloud structure, and carbon footprint. It is, therefore, instrumental for breaking'the curse of dimensionality' in complex IoT applications such as self-driving vehicles that involve deploying lots of edge nodes and handling large volumes of high dimensional data with very low latency.

Original languageEnglish (US)
Title of host publication2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2491-2495
Number of pages5
ISBN (Electronic)9781728186351
DOIs
StatePublished - Dec 11 2020
Event6th IEEE International Conference on Computer and Communications, ICCC 2020 - Chengdu, China
Duration: Dec 11 2020Dec 14 2020

Publication series

Name2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020

Conference

Conference6th IEEE International Conference on Computer and Communications, ICCC 2020
Country/TerritoryChina
CityChengdu
Period12/11/2012/14/20

Keywords

  • Graph Signal Processing
  • IoT
  • big data
  • edge computing
  • optical signal processing
  • ultrashort laser

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management

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