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A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming

A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming

J. Sangeetha, Keerthiraj Nagaraj, K. N. Balasubramanya Murthy, Ram P. Rustagi
Copyright: © 2016 |Volume: 7 |Issue: 2 |Pages: 23
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781466691216|DOI: 10.4018/IJAMC.2016040102
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MLA

Sangeetha, J., et al. "A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming." IJAMC vol.7, no.2 2016: pp.16-38. http://doi.org/10.4018/IJAMC.2016040102

APA

Sangeetha, J., Nagaraj, K., Murthy, K. N., & Rustagi, R. P. (2016). A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming. International Journal of Applied Metaheuristic Computing (IJAMC), 7(2), 16-38. http://doi.org/10.4018/IJAMC.2016040102

Chicago

Sangeetha, J., et al. "A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming," International Journal of Applied Metaheuristic Computing (IJAMC) 7, no.2: 16-38. http://doi.org/10.4018/IJAMC.2016040102

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Abstract

WiMAX is one of the broadband wireless access technologies, which provides the efficient QoS to the large number of users. The multimedia applications such as real time and non-real time services are gaining importance in the WiMAX network. To support such applications, there is a need to propose an efficient QoS traffic prediction routing protocol for the WiMAX networks. To address this, the authors are using Gene Expression Programming technique. They have generated datasets for CBR based traffic and file transfer applications. Here, they focus to develop the mathematical expressions for throughput of the network in terms of bandwidth, average end-to-end delay and average jitter for CBR based traffic and file transfer applications, so that they can analyze and predict the QoS traffic of the network. The simulation results show that the model values and the target values match with better approximation. Further, sensitivity analysis has been carried out for both CBR based traffic and file transfer applications.

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