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Protocol Modeling in Spiking Neural P systems and Petri nets

by Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 24
Year of Publication: 2010
Authors: Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg
10.5120/556-730

Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg . Protocol Modeling in Spiking Neural P systems and Petri nets. International Journal of Computer Applications. 1, 24 ( February 2010), 56-61. DOI=10.5120/556-730

@article{ 10.5120/556-730,
author = { Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg },
title = { Protocol Modeling in Spiking Neural P systems and Petri nets },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 24 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 56-61 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number24/556-730/ },
doi = { 10.5120/556-730 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:48:19.224360+05:30
%A Venkata Padmavati Metta
%A Kamala Krithivasan
%A Deepak Garg
%T Protocol Modeling in Spiking Neural P systems and Petri nets
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 24
%P 56-61
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present the relation between Spiking Neural P (SN P) systems and Petri nets by focusing on modeling simplex stop-and-wait protocol. The SN P system for the protocol is constructed and also translated it into equivalent Petri net with a corresponding semantics. It is then observed a direct correspondence between the Petri net representation of the proposed model and standard solution based on Petri nets already present in the literature.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Petri net Spiking neural P system simplex stop-and-wait protocol modeling

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