Modeling and enhancement of the IEEE 802.11 RTS/CTS scheme in an error-prone channel

Verfasser / Beitragende:
[Mohand Yazid, Djamil Aïssani, Louiza Bouallouche-Medjkoune, Nassim Amrouche, Kamel Bakli]
Ort, Verlag, Jahr:
2015
Enthalten in:
Formal Aspects of Computing, 27/1(2015-01-01), 33-52
Format:
Artikel (online)
ID: 605516073
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024 7 0 |a 10.1007/s00165-014-0300-4  |2 doi 
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245 0 0 |a Modeling and enhancement of the IEEE 802.11 RTS/CTS scheme in an error-prone channel  |h [Elektronische Daten]  |c [Mohand Yazid, Djamil Aïssani, Louiza Bouallouche-Medjkoune, Nassim Amrouche, Kamel Bakli] 
520 3 |a In this paper, we present a new discrete time Markov chain model to estimate the packet transmission probability τ, in order to develop mathematical models to derive the saturation throughput and the average packet delay of a 802.11 wireless LAN based on the RTS/CTS access method in the presence of noise, which distorts transmitted frames. Besides the standard backoff rule of the 802.11, Distributed Coordination Function assumes that each loss in the network is caused only by collision and acts to treat this situation by delaying the retransmission of the lost packet. We propose an enhancement of the IEEE 802.11 RTS/CTS scheme to recognize the reason of a transmission failure (collision or noise errors). Thus, the data packet is immediately retransmitted with zero-waiting time if a failure happens due to distortion by noise. This retransmission continues until the data packet is successfully transmitted or it is dropped when the number of packet transmission retries attains its limit. After that, we model the enhanced RTS/CTS scheme using a four-dimensional Markov model and we compare its performance with the actual RTS/CTS scheme. 
540 |a British Computer Society, 2014 
690 7 |a IEEE 802.11  |2 nationallicence 
690 7 |a RTS/CTS  |2 nationallicence 
690 7 |a Noisy channel  |2 nationallicence 
690 7 |a Modeling  |2 nationallicence 
690 7 |a Enhancement  |2 nationallicence 
690 7 |a Markov chains  |2 nationallicence 
690 7 |a Performance comparison  |2 nationallicence 
700 1 |a Yazid  |D Mohand  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
700 1 |a Aïssani  |D Djamil  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
700 1 |a Bouallouche-Medjkoune  |D Louiza  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
700 1 |a Amrouche  |D Nassim  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
700 1 |a Bakli  |D Kamel  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
773 0 |t Formal Aspects of Computing  |d Springer London  |g 27/1(2015-01-01), 33-52  |x 0934-5043  |q 27:1<33  |1 2015  |2 27  |o 165 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yazid  |D Mohand  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Aïssani  |D Djamil  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bouallouche-Medjkoune  |D Louiza  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Amrouche  |D Nassim  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bakli  |D Kamel  |u Research Unit LaMOS (Modeling and Optimization of Systems), University of Bejaïa, 06000, Bejaïa, Algeria  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Formal Aspects of Computing  |d Springer London  |g 27/1(2015-01-01), 33-52  |x 0934-5043  |q 27:1<33  |1 2015  |2 27  |o 165