Stochastic model of TCP and UDP traffic in IEEE 802.11b/g

Malik, Mazhar H.; Aydin, Mehmet; Shah, Zubair; Hussain, Saqib

Abstract

© 2014 IEEE. IEEE 802.11 networks have been widely explored since last decade and IEEE802.11g was proposed to increase the data rate of wireless networks up to 54Mbps which ensure backward capability with IEEE802.11b. The main goal of increasing the data rate is to handle high data rate traffic. Many studies have been conducted to analyze the performance of wireless networks using Quality of service constrains. However there are limited studies which try to understand the behavior of TCP traffic while UDP is present. The IEEE 802.11 family has a standard mechanism to handle TCP and UDP traffic without consideration of traffic priorities. In the presence of UDP traffic, the TCP cause high delay and saturation. In this paper we embedded the Bianchi's Markov chain model with our packet fragmentation technique to reduce the saturation impact on TCP traffic while UDP is present. We have analyzed the throughput for IEEE802.11b/g considering response times and packet retransmission. The theoretical results are validated by simulation and it is observed that the TCP packet rate is improved by using our proposed approach.

Citation

Malik, M. H., Aydin, M., Shah, Z., & Hussain, S. (2014). Stochastic model of TCP and UDP traffic in IEEE 802.11b/g. In 2014 9th IEEE Conference on Industrial Electronics and Applications. , (2170-2175). https://doi.org/10.1109/ICIEA.2014.6931531

• Conference Name: Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
• Conference Location: Hangzhuo, China
• Start Date: Jun 9, 2014
• End Date: Jun 11, 2014
• Publication Date: Oct 20, 2014
• Peer Reviewed: Peer Reviewed
• Pages: 2170-2175
• Book Title: 2014 9th IEEE Conference on Industrial Electronics and Applications
• DOI: https://doi.org/10.1109/ICIEA.2014.6931531
• Keywords: Markov processes, quality of service, telecommunication traffic, transport protocols, wireless sensor networks
• Public URL: https://uwe-repository.worktribe.com/output/816850
• Publisher URL: http://dx.doi.org/10.1109/ICIEA.2014.6931531
• Additional Information: Title of Conference or Conference Proceedings : IEEE 9th Conference on Industrial Electronics and Applications (ICIEA)