DocumentCode :
763759
Title :
A Statistical Analysis of ARQ Protocols Operating in a Nonindependent Error Environment
Author :
Towsley, Don
Author_Institution :
University of Massachusetts, Amherst, MA
Volume :
29
Issue :
7
fYear :
1981
fDate :
7/1/1981 12:00:00 AM
Firstpage :
971
Lastpage :
981
Abstract :
In this paper the behavior of the Stop and Wait and Go Back- 
error detection and retransmission (ARQ) protocols in an environment characterized by nonrandom errors are studied. Analytic models are developed for the case that the error process is modeled as a Markovian process. These models may be used to predict performance measures such as expected queue length and expected delay for the case of the Stop and Wait protocol and the Go Back- protocol when is very large. The models can also be used to determine maximum throughputs for both protocols. The results of these models are compared with simulation results for the Selective Repeat ARQ protocol.
error detection and retransmission (ARQ) protocols in an environment characterized by nonrandom errors are studied. Analytic models are developed for the case that the error process is modeled as a Markovian process. These models may be used to predict performance measures such as expected queue length and expected delay for the case of the Stop and Wait protocol and the Go Back- protocol when is very large. The models can also be used to determine maximum throughputs for both protocols. The results of these models are compared with simulation results for the Selective Repeat ARQ protocol.Keywords :
Computer communication protocols; Feedback communication; Markov processes; Automatic repeat request; Computer errors; Delay; Length measurement; Predictive models; Protocols; Queueing analysis; Statistical analysis; Strontium; Throughput;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1981.1095082
Filename :
1095082
Link To Document :
