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DOI: 10.14569/IJACSA.2013.040802
PDF

Novel MIME Type and Extension Based Packet Classification Algorithm in WiMAX

Author 1: Siddu P. Algur
Author 2: Niharika Kumar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 8, 2013.

  • Abstract and Keywords
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Abstract: IEEE 802.16 provides quality of service by providing five different service classes. When a packet reaches the MAC layer, the packet classifier has to classify the packet such that the packet is associated with appropriate QoS. In this paper a packet classification algorithm is proposed that exploits the HTTP header of the application layer to determine the type of data and classify the data. The extension and MIME type (content type) headers are used to classify the packets. Further the algorithm is enhanced by considering the type of user as an additional parameter during packet classification. Simulations are done on variable bit rate video data. Based on the type of video the packets are classified as RTPS or nRTPS thereby providing differentiated QoS. Simulation results reveal that high priority video classified as RTPS traffic receive higher throughput compared to video of lower priority. The delay faced by high priority videos is correspondingly less compared to low priority video.

Keywords: QoS; WiMAX; MAC; Packet Classification; IEEE802.16e

Siddu P. Algur and Niharika Kumar, “Novel MIME Type and Extension Based Packet Classification Algorithm in WiMAX” International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040802

@article{Algur2013,
title = {Novel MIME Type and Extension Based Packet Classification Algorithm in WiMAX},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040802},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040802},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {8},
author = {Siddu P. Algur and Niharika Kumar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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