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Multiple-access scheme optimisation for artificial neuronal networks
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Yu, Ruixiao, Leeson, Mark S. and Higgins, Matthew D. (2014) Multiple-access scheme optimisation for artificial neuronal networks. In: International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014, Manchester, UK, 23-25 Jul 2014. Published in: 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP) pp. 428-433. doi:10.1109/CSNDSP.2014.6923867
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Official URL: http://dx.doi.org/10.1109/CSNDSP.2014.6923867
Abstract
Nanoscale communication will expand the scope of nanotechnology and bring new applications to the future world. Among the different means for nanoscale communication, artificial neuronal networks are a novel paradigm. The aim of this paper is to find the optimal multiple-access scheme with the objectives of maximising the number of parallel packages and minimising the firing time difference of sensors in different network sizes. This is achieved via the use of genetic algorithm. Furthermore, the performance of the multiple-access scheme in different neuron densities and collision rates is compared in terms of average packet delay, overall throughput, and energy consumption.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP) | ||||
Publisher: | IEEE | ||||
Official Date: | 2014 | ||||
Dates: |
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Page Range: | pp. 428-433 | ||||
DOI: | 10.1109/CSNDSP.2014.6923867 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 | ||||
Type of Event: | Conference | ||||
Location of Event: | Manchester, UK | ||||
Date(s) of Event: | 23-25 Jul 2014 |
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