Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/13416
Title: Performance analysis of IEEE 802 11 wireless local area networks WLANs in error prone channels
Researcher: Kumar P
Guide(s): Krishnan, A.
Keywords: IEEE 802.11, Wireless Local Area Networks, error prone channels, WaveLAN-II, Distributed Coordination Function, Loss Differentiating Auto Rate Fallback, Media Access Control
Upload Date: 28-Nov-2013
University: Anna University
Completed Date: 
Abstract: Wireless communication always attracts extensive research interest, as it is a core part of modern communication technology. The research focus is on IEEE 802.11 network performance analysis. The first part of this thesis focuses on throughput analysis of IEEE 802.11 Wireless Local Area Networks (WLANs) in error-prone channels. This work includes the development of analytical model based on two-dimensional Markov chain approach, for various aspects of IEEE 802.11 network performance analysis. Analytical models are developed and analyzed for the performance enhancement of IEEE802.11 network, both in saturation as well as in non-saturation regime under homogeneous link conditions. Second part of this thesis focuses on throughput analysis of IEEE 802.11 multirate WLANs in error-prone channels. Rate adaptation has become one of the basic functionalities in today s 802.11 multirate WLANs. The Automatic Rate Fallback (ARF) is a simple rate adaptation algorithm, which was originally developed for Lucent Technologies WaveLAN-II wireless LAN (WLAN) devices. The design of ARF algorithm has not considered the possible packet losses due to collisions. A new mathematical model is developed to analyze the saturation throughput of the IEEE802.11 Distributed Coordination Function (DCF) with Loss Differentiating Auto Rate Fallback (LD-ARF) rate adaptation algorithm. This new model differentiates the two types of losses and improves the accuracy of the rate adaptation process. The new algorithm accounts Media Access Control (MAC) layer changes in order to have loss differentiation ability. Initially, LD-ARF is modeled using discrete time Markov chain through which the station distribution is obtained according to their physical rate. Then, this model is combined with the throughput model of DCF to obtain the system throughput. This algorithm is extensively evaluated through simulations and shown to perform well especially in an environment where both collision losses and link error losses can coexist. newline newline newline
Pagination: xviii, 142
URI: http://hdl.handle.net/10603/13416
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File28.68 kBAdobe PDFView/Open
02_certificates.pdf993.93 kBAdobe PDFView/Open
03_abstract.pdf54.75 kBAdobe PDFView/Open
04_acknowledgement.pdf43.73 kBAdobe PDFView/Open
05_contents.pdf86.41 kBAdobe PDFView/Open
06_chapter 1.pdf193.36 kBAdobe PDFView/Open
07_chapter 2.pdf351.41 kBAdobe PDFView/Open
08_chapter 3.pdf288.62 kBAdobe PDFView/Open
09_chapter 4.pdf215.71 kBAdobe PDFView/Open
10_chapter 5.pdf29.42 kBAdobe PDFView/Open
11_references.pdf89.21 kBAdobe PDFView/Open
12_publications.pdf21.82 kBAdobe PDFView/Open
13_vitae.pdf25.31 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: