A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks
Quality of Service (QoS) is an important parameter that is use for evaluating Network performance. In this paper a Distributed model was developed to analyze QoS Parameters Performance Improvement for Fixed Worldwide Interoperability for Microwave Access (WiMAX) Network using parameters that include...
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my.ums.eprints.294262021-07-13T02:40:17Z https://eprints.ums.edu.my/id/eprint/29426/ A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks A. L. Ibrahim A. Md. Said Kashif Nisar Peer Azmat Shah Abubakar Aminu Mu’azu QA Mathematics T Technology (General) Quality of Service (QoS) is an important parameter that is use for evaluating Network performance. In this paper a Distributed model was developed to analyze QoS Parameters Performance Improvement for Fixed Worldwide Interoperability for Microwave Access (WiMAX) Network using parameters that include Delay, Throughput and Application Response Time to enhance the services that are provided to the end users. The designed has been evaluated using the simulation tool OPNET modeler 16.0 and compared with the Existing model which is centralized. The results obtained from the new Distributed model shows significant increase in the network throughput from 12,000bit/sec to14, 000bit/sec, and decrease in delay from 0.012sec to 0.009sec and also decrease in application response time from 0.94bit/sec to 0.69bit/sec in Scenario1. The result of the distributed model enhances the QoS performance Springer Springer 2014 Book PeerReviewed A. L. Ibrahim and A. Md. Said and Kashif Nisar and Peer Azmat Shah and Abubakar Aminu Mu’azu (2014) A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks. Advances in Computer Science and its Applications, 97 . Springer, Berlin, Heidelberg. ISBN 978-3-64-241674-3 (E-ISBN) , 978-3-64-241673-6 (P-ISBN) https://link.springer.com/chapter/10.1007/978-3-642-41674-3_99 https://doi.org/10.1007/978-3-642-41674-3_99 |
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QA Mathematics T Technology (General) A. L. Ibrahim A. Md. Said Kashif Nisar Peer Azmat Shah Abubakar Aminu Mu’azu A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
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Quality of Service (QoS) is an important parameter that is use for evaluating Network performance. In this paper a Distributed model was developed to analyze QoS Parameters Performance Improvement for Fixed Worldwide Interoperability for Microwave Access (WiMAX) Network using parameters that include Delay, Throughput and Application Response Time to enhance the services that are provided to the end users. The designed has been evaluated using the simulation tool OPNET modeler 16.0 and compared with the Existing model which is centralized. The results obtained from the new Distributed model shows significant increase in the network throughput from 12,000bit/sec to14, 000bit/sec, and decrease in delay from 0.012sec to 0.009sec and also decrease in application response time from 0.94bit/sec to 0.69bit/sec in Scenario1. The result of the distributed model enhances the QoS performance |
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Springer A. L. Ibrahim A. Md. Said Kashif Nisar Peer Azmat Shah Abubakar Aminu Mu’azu |
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Book |
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A. L. Ibrahim A. Md. Said Kashif Nisar Peer Azmat Shah Abubakar Aminu Mu’azu |
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A. L. Ibrahim |
title |
A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
title_short |
A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
title_full |
A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
title_fullStr |
A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
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A distributed model to analyze QoS parameters performance improvement for fixed WiMAX networks |
title_sort |
distributed model to analyze qos parameters performance improvement for fixed wimax networks |
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Springer |
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2014 |
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https://eprints.ums.edu.my/id/eprint/29426/ https://link.springer.com/chapter/10.1007/978-3-642-41674-3_99 https://doi.org/10.1007/978-3-642-41674-3_99 |
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13.211869 |