caa a22 4500 605446938 CHVBK 20210128100129.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2131-y doi (NATIONALLICENCE)springer-10.1007/s11042-014-2131-y Modeling and performance study of the packet fragmentation in an IEEE 802.11e-EDCA network over fading channel [Elektronische Daten] [Mohand Yazid, Nassim Sahki, Louiza Bouallouche-Medjkoune, Djamil Aïssani] Mathematical modeling and performance analysis of the IEEE 802.11e Enhanced Distributed Channel Access (EDCA) has been the subject of several research papers published in the literature. However, the Packet Fragmentation (PF) which has been proposed by the IEEE work group in the legacy IEEE 802.11 standard, has never been taken into account in the mathematical models available in the literature, in order to analyze the performance of the IEEE 802.11e-EDCA network under the influence of the Packet Error Rate (PER). Yet, the Packet Fragmentation is the only existing solution since 1999, which allows reducing the influence of the PER on the performance of IEEE 802.11 networks. In this paper, we aim at showing for the first time, how the Packet Fragmentation developed in the legacy IEEE 802.11 standard can be used to enhance the current IEEE 802.11e Quality of Service (QoS). Therefore, we propose an extension of the existing Markov chain models of the IEEE 802.11e EDCA function, in order to take into account the Packet Error Rate and Packet Fragmentation. Furthermore, we develop a mathematical model to derive the saturation throughput of a given Access Category (AC), namely: Voice (VO), Video (VI), Best Effort (BE) and Background (BK). The obtained analytical results show that, applying the Packet Fragmentation on the IEEE 802.11e-EDCA network, allows improving the utilization of the scarce wireless bandwidth under the impact of PER parameters, namely: Bit Error Rate (BER) and packet length. Springer Science+Business Media New York, 2014 IEEE 802.11e-EDCA network nationallicence Packet fragmentation nationallicence Noisy channel nationallicence Markov chains nationallicence Modeling nationallicence Throughput analysis nationallicence Yazid Mohand LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut Sahki Nassim LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut Bouallouche-Medjkoune Louiza LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut Aïssani Djamil LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9507-9527 1380-7501 74:21<9507 2015 74 11042 https://doi.org/10.1007/s11042-014-2131-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2131-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yazid Mohand LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut NATIONALLICENCE 700 1- Sahki Nassim LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut NATIONALLICENCE 700 1- Bouallouche-Medjkoune Louiza LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut NATIONALLICENCE 700 1- Aïssani Djamil LAMOS, Laboratory of Modeling and Optimization of Systems, University of Bejaia, 06000, Bejaia, Algeria aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9507-9527 1380-7501 74:21<9507 2015 74 11042