Analytical analysis of applying packet fragmentation mechanism on IEEE 802.11b DCF network in non ideal channel with infinite load conditions

Yazid, Mohand; Bouallouche-Medjkoune, Louiza; Aı̈ssani, Djamil; Ziane-Khodja, Lilia

doi:10.1007/s11276-013-0653-2

Cited by 21 publications

(6 citation statements)

References 54 publications

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“…A parallel study is performed on the segmentation process for the packets which are higher in size than MTU. Larger data packets than 1500 bytes will split into smaller packets called fragments to enable them transverse the network [15]. Based on the literature study a proper simulation tool is required to develop the network in the real time simulation.…”

Section: Methodsmentioning

confidence: 99%

Quality of Service Analysis of Ethernet Network Based on Packet Size

Islam¹,

Bawn²,

Hasan³

et al. 2016

JCC

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Ethernet network, standardized by IEEE 802.3, is vastly installed in Local Area Network (LAN) for cheaper cost and reliability. With the emergence of cost effective and enhanced user experience needs, the Quality of Service (QoS) of the underlying Ethernet network has become a major issue. A network must provide predictable, reliable and guaranteed services. The required QoS on the network is achieved through managing the end-to-end delay, throughput, jitter, transmission rate and many other network performance parameters. The paper investigates QoS parameters based on packet size to analyze the network performance. Segmentation in packet size larger than 1500 bytes, Maximum Transmission Unit (MTU) of Ethernet, is used to divide the large data into small packets. A simulation process under Riverbed modeler 17.5 initiates several scenarios of the Ethernet network to depict the QoS metrics in the Ethernet topology. For analyzing the result from the simulation process, varying sized packets are considered. Hence, the network performance results in distinct throughput, end-to-end delay, packet loss ratio, bit error rate etc. for varying packet sizes.Ethernet network is covered under IEEE 803.2 working group referring to the LAN family of network protocols. Since it is published as an official standard in 1985, several supplements have been defined to support additional network media and higher data rate compatibilities with the advancement of network technologies [1] [2]. Nowadays, Ethernet supports longer transmission distance up to 150 km which indicates the mass installation in an optical fiber network in most LAN environments. Ethernet network uses both packet and frame for the transmission using the physical and data link layer at the same time [3]. Ethernet stations communicate sending the data as packets where the Ether-Type field uses frames at the receiving station to select an appropriate protocol module by the operating system [4].Performance is the key issue for the installation of Ethernet in any LAN environment. In the field of telecommunication QoS is defined through some network parameters such as delivery rate, throughput, delay, collision probability, bandwidth efficiency, packet loss ratio, bit error rate, queuing delay, and jitter [5]. Ethernet has MTU of 1500 bytes which is much higher and potential to degrade the performance of the network [6]. However, if the packet sizes increase in the transmission, congestion occurs and probability of packet drop increases. Segmenting the larger packets to divide into smaller ones avoids congestion and impacts on QoS on the overall Ethernet network. Packet size impacts on the queuing in the switch and router's buffer during the transmission process among the Ethernet stations. This varies the packet arrival and departure rate consequently the packet processing rate [7]. When the packet size exceeds the MTU, the end-to-end packet arrival/departure delay increases [7]. Segmentation requires time and impacts on the data rate and degrades the QoS of the network....

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Section: Methodsmentioning

confidence: 99%

Quality of Service Analysis of Ethernet Network Based on Packet Size

Islam¹,

Bawn²,

Hasan³

et al. 2016

JCC

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“…In [7], Mohand and Louiza introduced an extension of the Bianchi's Markov chain model with Packet Fragmentation Mechanism (PFM) and the Packet Error Rate (PER). A mathematical model was presented to compute the overall throughput and the mean response time of the IEEE 802.11b and the results were validated by simulation.…”

Section: Related Workmentioning

confidence: 99%

“…Finally, researchers have proven the efficiency of new mechanisms that were proposed to enhance the 802.11 performance. [7] One of the major challenges that faced researchers was the impact of mobility on wireless ad-hoc networks. Mobile ad-hoc networks lack fixed topology due to node mobility, interference, path loss, shadowing.…”

Section: Introductionmentioning

confidence: 99%

Towards a Solution for Interoperability of Smarthomes Devices

Albuquerque¹,

Aquino²

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Packet Collisions in wireless communication are one of the most causes of network performance degradation. MACAW mechanism is a popular and widely used mechanism to reduce packet collisions that arise due to the hidden terminal problem in mobile ad-hoc networks. However; Mobility is considered a vital issue in mobile ad-hoc networks that has not been thoroughly investigated. A real time simulation is carried out to measure the Throughput and the Packet Delivery Ratio of an ad-hoc network under Shadowing propagation model using MACAW mechanism with different mobility scenarios.

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“…However, they were a solid starting point for further research. Most of all, they resolved the complicated problem of representing multiple states of the channel access procedure by using Markov chains (see Kosek-Szott et al, 2011;Yazid et al, 2014aYazid et al, , 2014bYazid et al, , 2015b. In this area, Kong et al (2004) presented an analytical model of the IEEE 802.11e EDCA taking into account AIFS and CW.…”

Section: Introductionmentioning

confidence: 99%

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

Yazid

Bouallouche-Medjkoune

Aı̈ssani

2017

IJCCBS

Self Cite

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Performance evaluation of the IEEE 802.11e network has been the subject of several research papers. Especially, the transmission opportunity limit (TXOPLimit) has been proven efficient for achieving differentiated quality of service (QoS) and improving the wireless bandwidth utilisation. However, most existing analytical models have been developed under unrealistic assumption that the wireless channel is error-free. Hence, the efficiency and the performance level of the TXOPLimit in an error-prone channel are questionable. In this paper, we aim at proposing a new Markov chain model of the IEEE 802.11e network including the TXOPLimit and the packet error rate (PER). Then, we derive the saturation throughput of the IEEE 802.11e network in cases of aggregated and non-aggregated packets. The obtained results show that, the TXOPLimit efficiency is highly degraded under the effect of bit error rate (BER) and packet length.

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Analytical analysis of applying packet fragmentation mechanism on IEEE 802.11b DCF network in non ideal channel with infinite load conditions

Cited by 21 publications

References 54 publications

Quality of Service Analysis of Ethernet Network Based on Packet Size

Quality of Service Analysis of Ethernet Network Based on Packet Size

Towards a Solution for Interoperability of Smarthomes Devices

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

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