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Efficient Bandwidth Management and Implementation of Cross-Layer Queuing Model in a Wireless Campus Area Network

by Garba S., Abdulmalik M., Tekanyi A.m.s.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 2
Year of Publication: 2015
Authors: Garba S., Abdulmalik M., Tekanyi A.m.s.
10.5120/19636-1210

Garba S., Abdulmalik M., Tekanyi A.m.s. . Efficient Bandwidth Management and Implementation of Cross-Layer Queuing Model in a Wireless Campus Area Network. International Journal of Computer Applications. 112, 2 ( February 2015), 8-12. DOI=10.5120/19636-1210

@article{ 10.5120/19636-1210,
author = { Garba S., Abdulmalik M., Tekanyi A.m.s. },
title = { Efficient Bandwidth Management and Implementation of Cross-Layer Queuing Model in a Wireless Campus Area Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 2 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number2/19636-1210/ },
doi = { 10.5120/19636-1210 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:21.818878+05:30
%A Garba S.
%A Abdulmalik M.
%A Tekanyi A.m.s.
%T Efficient Bandwidth Management and Implementation of Cross-Layer Queuing Model in a Wireless Campus Area Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 2
%P 8-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper investigates the use of an efficient bandwidth management scheme by implementing cross-layer M/M/1 queuing model. Strict Open System Interconnection (OSI) layer to layer communication problem is solved by introducing a common database that automatically synchronizes the status of each OSI layer to all the other layers. First-In-First-Out (FIFO) queuing data structure and Priority Queuing (PQ) were deployed to the model to reduce data loss and congestion in low bandwidth interfaces respectively. The integrated model caters for the burst arrival into the system. Application of this model to a Wireless Campus Area Network (WCAN) show that 95 % and 95. 26 % were the generated packets in the wireless channel and accounted packets respectively. Subsequently, 22. 19 % of bandwidth has been saved using Real Time Packets (RTP) and Non-Real Time Packets (NRTP).

References
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Index Terms

Computer Science
Information Sciences

Keywords

FIFO NRTP OSI PQ RTP and WCAN.

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