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Reseach Article

Application of Graph Abstraction for Performance Optimization of Wireless Ad Hoc Networks: Two Node Scenarios

by Md. Mohiuddin Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 18
Year of Publication: 2012
Authors: Md. Mohiuddin Khan
10.5120/9652-4433

Md. Mohiuddin Khan . Application of Graph Abstraction for Performance Optimization of Wireless Ad Hoc Networks: Two Node Scenarios. International Journal of Computer Applications. 59, 18 ( December 2012), 42-49. DOI=10.5120/9652-4433

@article{ 10.5120/9652-4433,
author = { Md. Mohiuddin Khan },
title = { Application of Graph Abstraction for Performance Optimization of Wireless Ad Hoc Networks: Two Node Scenarios },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 18 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number18/9652-4433/ },
doi = { 10.5120/9652-4433 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:35.294857+05:30
%A Md. Mohiuddin Khan
%T Application of Graph Abstraction for Performance Optimization of Wireless Ad Hoc Networks: Two Node Scenarios
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 18
%P 42-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper examines the feasibility and efficiency of representation of wireless networks using graph abstractions. These abstractions represent wireless nodes and interactions between them as vertices and edges in a labelled graph. Vertices are defined with respect to different environmental and network protocol settings on a node while edges correspond to monitored performance metrics. In this paper we present the findings of the two node network. We use the upper layer metrics such as application layer goodput and fairness to characterize network performance. The parameters include network topologies as well as different traffic types and underlying transport protocols. Our results indicate that for many parameter settings of the vertices, the graph abstractions can be relatively simple. Each edge type can easily be modelled using basic mathematical functions. The results obtained from this simple scenarios work as a sanity check for larger networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Performance optimization Network behavior