Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP
The transmission of voice over IP networks can generate network congestion due to weak supervision of the traffic incoming packet, queuing and scheduling. This congestion negatively affects the Quality of Service (QoS) such as delay, packet drop and packet loss. Packet delay effects will affect the...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
AIRCC Publishing
2011
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/39814/ http://dx.doi.org/10.5121/ijnsa.2011.3102 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
id |
my.utm.39814 |
---|---|
record_format |
eprints |
spelling |
my.utm.398142019-03-17T04:02:21Z http://eprints.utm.my/id/eprint/39814/ Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP Suardinata, Suardinata Abu Bakar, Kamalrulnizam Suanmali, Nimitr QA75 Electronic computers. Computer science The transmission of voice over IP networks can generate network congestion due to weak supervision of the traffic incoming packet, queuing and scheduling. This congestion negatively affects the Quality of Service (QoS) such as delay, packet drop and packet loss. Packet delay effects will affect the other QoS such as: unstable voice packet delivery, packet jitter, packet loss and echo. Priority Queuing (PQ) algorithm is a more popular technique used in the VoIP network to reduce delays. In operation, the PQ is to use the method of sorting algorithms, search and route planning to classify packets on the router. Thus, this packet classifying method can result in repetition of the process. And this recursive loop leads to the next queue starved. In this paper, to solving problems, there are three phases namely queuing phase, classifying phase and scheduling phase. The PQ algorithm technique is based on the priority. It will be applied to the fuzzy inference system to classify the queuing incoming packet (voice, video and text); that can reduce recursive loop and starvation. After the incoming packet is classified, the packet will be sent to the packet buffering. In addition, to justify the research objective of the PQ improved algorithm will be compared against the algorithm existing PQ, which is found in the literature using metrics such as delay, packets drop and packet losses. This paper described about different execution long process in Priority (PQ) and our algorithm. Our Algorithm is to simplify process execution Algorithm that can cause starvation occurs in PQ algorithm. AIRCC Publishing 2011-01 Article PeerReviewed Suardinata, Suardinata and Abu Bakar, Kamalrulnizam and Suanmali, Nimitr (2011) Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP. International Journal of Network Security & Its Applications (IJNSA), 3 (1). pp. 17-28. ISSN 0975-2307 http://dx.doi.org/10.5121/ijnsa.2011.3102 DOI:10.5121/ijnsa.2011.3102 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Suardinata, Suardinata Abu Bakar, Kamalrulnizam Suanmali, Nimitr Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
description |
The transmission of voice over IP networks can generate network congestion due to weak supervision of the traffic incoming packet, queuing and scheduling. This congestion negatively affects the Quality of Service (QoS) such as delay, packet drop and packet loss. Packet delay effects will affect the other QoS such as: unstable voice packet delivery, packet jitter, packet loss and echo. Priority Queuing (PQ) algorithm is a more popular technique used in the VoIP network to reduce delays. In operation, the PQ is to use the method of sorting algorithms, search and route planning to classify packets on the router. Thus, this packet classifying method can result in repetition of the process. And this recursive loop leads to the next queue starved. In this paper, to solving problems, there are three phases namely queuing phase, classifying phase and scheduling phase. The PQ algorithm technique is based on the priority. It will be applied to the fuzzy inference system to classify the queuing incoming packet (voice, video and text); that can reduce recursive loop and starvation. After the incoming packet is classified, the packet will be sent to the packet buffering. In addition, to justify the research objective of the PQ improved algorithm will be compared against the algorithm existing PQ, which is found in the literature using metrics such as delay, packets drop and packet losses. This paper described about different execution long process in Priority (PQ) and our algorithm. Our Algorithm is to simplify process execution Algorithm that can cause starvation occurs in PQ algorithm. |
format |
Article |
author |
Suardinata, Suardinata Abu Bakar, Kamalrulnizam Suanmali, Nimitr |
author_facet |
Suardinata, Suardinata Abu Bakar, Kamalrulnizam Suanmali, Nimitr |
author_sort |
Suardinata, Suardinata |
title |
Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
title_short |
Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
title_full |
Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
title_fullStr |
Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
title_full_unstemmed |
Comparison process long execution between PQ algorthm and new fuzzy logic algorithm for VOIP |
title_sort |
comparison process long execution between pq algorthm and new fuzzy logic algorithm for voip |
publisher |
AIRCC Publishing |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/39814/ http://dx.doi.org/10.5121/ijnsa.2011.3102 |
_version_ |
1643650371510337536 |