NDLI: Simulation of Collision Resolution Algorithm based on self-similar traffic model

Content Provider	IEEE Xplore Digital Library
Author	Shuangmao Yang Wei Guo Wei Tang
Copyright Year	2009
Description	Author affiliation: National Anti-Interference Communication Technology Laboratory, University of Electronic Science and Technology of China, Chengdu, 610054, China (Shuangmao Yang; Wei Guo; Wei Tang)
Abstract	The traditional traffic models are mostly based on Poisson model or Bernoulli process. However, in recent decade, it has been found in traffic measurements the coexistence of both long-range and short-range dependences in network traffic. Collision resolution algorithm (CRA) is an efficient strategy to improve the performance of multiple access protocols, and achieves the highest capacity among all known multiple access protocols under the Poisson traffic model. In this paper, extensive simulation experiments are conducted to obtain the performances of CRA under the self-similar traffic model. Two traffic models are examined: (1) the fractional autoregressive integrated moving average (FARIMA) process with non-Gaussian white driving sequence; (2) real traffic traces captured at a well-attended ACM conference. Our study demonstrates that the existing well-known algorithms must be improved to adapt the self-similar traffic model.
Starting Page	182
Ending Page	186
File Size	3374052
Page Count	5
File Format	PDF
ISBN	9781424448869
DOI	10.1109/ICCCAS.2009.5250538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road accidents Wireless networks Laboratories Telecommunication traffic Access protocols Quality of service Traffic control Communications technology Electronic mail Autocorrelation
Content Type	Text
Resource Type	Article

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