Neuron-like Signal Propagation for OWC Nanonetworks

Pandeirada, Joao, Alves, Luis Nero and Ghassemlooy, Zabih (2020) Neuron-like Signal Propagation for OWC Nanonetworks. In: 2020 3rd West Asian Symposium on Optical and Millimeter-wave Wireless Communication (WASOWC). Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 1-6. ISBN 9781728186924, 9781728186917

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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.

Item Type: Book Section
Additional Information: ACKNOWLEDGMENTS This work is supported by H2020/MSCA-ITN funding program under the framework of the European Training Network on Visible Light Based Interoperability and Networking, project (VisIoN) grant agreement no 764461.
Uncontrolled Keywords: communication, Molecular, Nanonetworks, Nanotechnology, Relay, SNN, STDP
Subjects: G500 Information Systems
G600 Software Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 09 Jun 2021 13:05
Last Modified: 31 Jul 2021 11:03

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