QoS in IEEE 802.11-based wireless networks: A contemporary review

Malik, Aqsa; Qadir, Junaid; Ahmad, Robiah; Yau, Kok‐Lim Alvin; Ullah, Ubaid

doi:10.1016/j.jnca.2015.04.016

Cited by 109 publications

(53 citation statements)

References 222 publications

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“…In general, interactive applications, such as web browsing, video conferencing and live streaming are delay and jitter sensitive. On the contrary, Email, file sharing and remote login are not affected by jitters in the network traffic 16 . In addition, routine operations usually performed by firms such as bulk file transfer are concerned more with average packet loss rate.…”

Section: Introduction and Motivationsmentioning

confidence: 94%

“…It should be noted that below equality among these quantities has to be hold. (16) Where indicates subtraction operation between 3-tuples which is defined as in Eq. (17).…”

Section: Computational Experimentsmentioning

confidence: 99%

“…Several metrics are defined in literature to measure QoS. Figure 5 presents a comprehensive taxonomy created by Malik et al 16 . Common QoS metrics used during service provisioning are delay, packet loss, jitter, response time, reliability, and availability.…”

Section: Introduction and Motivationsmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Turan¹,

Kasap²,

et al. 2016

IJCIS

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In this paper, bandwidth acquisition and allocation problem of a telecommunications Bandwidth Broker (BB) is analyzed under uncertain end-user capacity requests and pay-per-byte (volume) based pricing policy. Furthermore, related objective function coefficients such as revenue and costs are modeled as fuzzy numbers in order to cope with vague market conditions. By integrating fuzzy mathematical programming and two-stage stochastic programming techniques, deterministic equivalent of single objective profit maximization problem of BB is obtained solved to optimality. In addition, infrastructure related performance measures such as delay and jitter amounts in the network are modelled via stochastic parameters that obey some known probability distributions. Two performance statistics namely fuzzy Expected Value of Perfect Information (EVPI) and fuzzy Value of Stochastic Solution (VSS) are defined to demonstrate the efficiency of proposed methodology compared to deterministic approach. In addition, several secondary performance measures such as expected capacity utilization, expected demand fulfilment ratio and capacity loss are calculated under different problem settings. In conclusion, numerical experiments showed that fuzzy stochastic method provides more profit depending upon problem size in compression with deterministic strategy.

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Section: Introduction and Motivationsmentioning

confidence: 94%

“…It should be noted that below equality among these quantities has to be hold. (16) Where indicates subtraction operation between 3-tuples which is defined as in Eq. (17).…”

Section: Computational Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Turan¹,

Kasap²,

et al. 2016

IJCIS

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show abstract

“…SFC concepts based on SDN can be applied in LTE environment to enforce the packets among a logical network graph and achieve certain service functionality among the virtualised components such as BSS, HSS, RAN etc [23]. The role of the controller in this holistic approach has been analysed in the literature and some experimental and industry implementations already have been presented [24][25][26][27][28]. However SFC solution based on SDN in this scenario is an unexplored area and potentially one of the use cases to be addressed.…”

Section: Introducing Mobile Edge Services Into Cloud-enabled Small Cellsmentioning

confidence: 99%

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

et al. 2016

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Abstract:Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing units and remote radio headers makes it possible to process some of the protocols in centralised premises, likely with virtualised resources. On the other hand, mobile edge computing makes use of processing and storage capabilities close to the air interface in order to deploy optimised services with minimum delay. The confluence of both trends is a hot topic in the definition of future 5G networks. The full centralisation of both technologies in cloud data centres imposes stringent requirements to the fronthaul connections in terms of throughput and latency. Therefore, all those cells with limited network access would not be able to offer these types of services. This paper proposes a solution for these cases, based on the placement of processing and storage capabilities close to the remote units, which is especially well suited for the deployment of clusters of small cells. The proposed cloudenabled small cells include a highly efficient microserver with a limited set of virtualised resources offered to the cluster of small cells. As a result, a light data centre is created and commonly used for deploying centralised eNB and mobile edge computing functionalities. The paper covers the proposed architecture, with special focus on the integration of both aspects, and possible scenarios of application.

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“…The ACO for routing protocol has been implemented in the WSN [13]. The QoS requirements in wireless networks have been discussed in [14]. The Cluster based approach to Adhoc On Demand Distance Vector (CAODV) has increased the life time and QoS of the WSN [15].…”

Section: Introductionmentioning

confidence: 99%

A Routing Optimization Based on Ant Colony for Wireless Multimedia Sensor Networks (WMSNs)

Putra¹,

Hidayat²,

Widyawan³

et al. 2016

IJIES

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Routing process in Wireless Multimedia Sensor Networks (WMSNs) has its own challenges to pass multimedia applications from source nodes to a sink. The WMSNs have specific characteristics consisting of multihop network, restricted bandwidth, and limited power resources in the WMSNs. Additionally, multimedia applications require specific Quality of Service (QoS). This paper proposes a routing optimization based on the Ant Colony Optimization (ACO) for multimedia transmission in the WMSNs. The routing optimization can deliver multimedia data within an average throughput of 164.65 kbps and provide better QoS than DSDV and AODV routing protocols.

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QoS in IEEE 802.11-based wireless networks: A contemporary review

Cited by 109 publications

References 222 publications

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

A Routing Optimization Based on Ant Colony for Wireless Multimedia Sensor Networks (WMSNs)

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