Exploring the Design Space of Relaying Neurons for OWC Networks at the Nanoscale

Joao Pandeirada, Luis Nero Alves, Zabih Ghassemlooy

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

    Abstract

    This paper presents an extensive study of a proposed architecture for communications in nanodevices. Nanodevices are equipped with optical front ends and brain inspired spiking neural networks in order to process and relay incoming spike information. When deployed in large numbers, they should be able to establish a network by interpreting and forwarding signals from their neighbors. The objective of the network is to transport information between two endpoints. To study the impact of the relaying neuron parameters on the ability of the network to transport information, several nanonetworks with different parameters were simulated. The results obtained show that, the usage of slower and less sensitive neurons, but deployed in high numbers, leads to networks with improved quality.

    Original languageEnglish
    Title of host publication2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
    Place of PublicationPiscataway. NJ
    PublisherIEEE
    Number of pages6
    ISBN (Electronic)9781728167435
    ISBN (Print)9781728160511
    DOIs
    Publication statusPublished - 20 Jul 2020
    Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
    Duration: 20 Jul 202022 Jul 2020

    Publication series

    Name2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020

    Conference

    Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
    Country/TerritoryPortugal
    CityPorto
    Period20/07/2022/07/20

    Keywords

    • Brain
    • IonT
    • Nanonetworks
    • Nanotechnology
    • Neuron
    • Relay
    • SNN
    • STDP

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