@inproceedings{e3dbbf95e5044724b542e2ecbce42691,
title = "Neuron-like Signal Propagation for OWC Nanonetworks",
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. ",
keywords = "communication, Molecular, Nanonetworks, Nanotechnology, Relay, SNN, STDP",
author = "Joao Pandeirada and Alves, \{Luis Nero\} and Zabih Ghassemlooy",
note = "Funding 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.; 3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020 ; Conference date: 24-11-2020 Through 25-11-2020",
year = "2020",
month = nov,
day = "24",
doi = "10.1109/WASOWC49739.2020.9410129",
language = "English",
isbn = "9781728186924",
series = "3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020",
publisher = "IEEE",
booktitle = "3rd West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2020",
address = "United States",
}