Neuron-like Signal Propagation for OWC Nanonetworks

Joao Pandeirada, Luis Nero Alves, Zabih Ghassemlooy

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

1 Citation (Scopus)

Abstract

Neuron-inspired signal propagation is proposed for communication in networks of nanodevices. Nanodevices should be able to interpret and forward signals inside the network in order to transport the information between two endpoints. Applications at the nano level demand processing systems that are very power efficient and simple. To achieve that, a brain inspired spiking neural network with pattern recognition and relaying capabilities is presented. The neural network learns the desired features using STDP, a power efficient and biologically plausible learning method. Finally, several nanonetworks are simulated, communicating using OWC. The results obtained show that signal similarity between the emitted and received signal highly depends on the design space of the neurons. It is possible to create networks with NDs capable of transporting information between two endpoints.

Original languageEnglish
Title of host publication3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728186917
ISBN (Print)9781728186924
DOIs
Publication statusPublished - 24 Nov 2020
Event3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020 - Tehran, Iran, Islamic Republic of
Duration: 24 Nov 202025 Nov 2020

Publication series

Name3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020

Conference

Conference3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020
CountryIran, Islamic Republic of
CityTehran
Period24/11/2025/11/20

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