A Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks

Mohammed, Aminu; Saidu, Ibrahim; Abdulazeez, Abdulhakeem

doi:10.1007/978-3-319-98827-6_4

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…2 shows only one packet queued before the next counter reset. The PLAS compared with LAWRR in [14], demonstrated better performance in terms of delay under low to moderate traffic loads from 5,10,15,20,30 and 35 SSs for different experiments. However, the metric (delay) used and the traffics generated by the SSs are not enough to realistically evaluate the performance of PLAS in a typical metropolitan area network.…”

Section: Plas Algorithmmentioning

confidence: 93%

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Performance Evaluation of Priority Load-Aware Scheduling (PLAS) Algorithm for IEEE802.16 Networks

Abdulazeez

Yese

Mohammed

2019

EJECE

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In recent years, there has been an increase in the transmission of multimedia services due to the emergence of wireless broadband (WiBB) technologies such as WiMAX. WiMAX supports multiple QoS classes for transmission of different multimedia applications. However, satisfying the requirements of these applications with the often-limited resources has been a major challenge, which requires an efficient scheduling scheme such as PLAS. PLAS is a variant of LAWRR designed to reduce queuing delay of real-time traffics in WiBB networks. Several simulation experiments were conducted to evaluate the performance of PLAS against the LAWRR algorithm. The results revealed that PLAS outperforms the other scheme in terms of average delay for low input traffic. However, the metric (delay) used and the traffics generated for the simulation are not adequate to realistically evaluate the performance of a scheduling algorithm in a typical metropolitan area network. In this study, we further evaluated the performance of PLAS and LAWRR under varying higher input traffics, and an additional performance metric, using discrete event simulation. The results demonstrated that the PLAS achieved better results in terms of queuing delay and throughput compared to LAWRR. The improved performance will lead to better user experience, which will increase the number of subscribers and consequently increase revenue for service providers.

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Section: Plas Algorithmmentioning

confidence: 93%

“…3. Simulation Topology [14] In this experiment, 20, 40, 60, 80, 100 and 120 SSs are used for different simulation scenarios to evaluate the effect of increase in number of SSs on performance of proposed and benchmark algorithms. The simulation parameters in Table I,II and III are used.…”

Section: A Simulation Modelmentioning

confidence: 99%

Performance Evaluation of Priority Load-Aware Scheduling (PLAS) Algorithm for IEEE802.16 Networks

Abdulazeez

Yese

Mohammed

2019

EJECE

Self Cite

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“…In [4], a priority load aware scheduling (PLAS) algorithm is also proposed to decrease delay in real time traffics. The PLAS algorithm employs a priority value to prioritize real time traffics over non-real time traffics.…”

Section: Related Work On Scheduling Algorithmsmentioning

confidence: 99%

“…Several scheduling algorithms have been proposed to improve resource utilization and guarantee QoS to diverse applications [2][3][4]. In [2], a Load Aware Weighted Round Robin (LAWR) algorithm is proposed to improve network efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm uses the coefficient γ in order to improve the performance of the network but the computation of γ introduces additional complexity. In [4], a priority load aware scheduling (PLAS) algorithm is proposed to minimize delay in real time traffics. The PLAS algorithm uses a priority value to prioritize real time traffics over non-real time traffics.…”

Section: Introductionmentioning

confidence: 99%

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A Prioritized Load Aware Weighted Round Robin (PLAWRR) algorithm in Broadband Wireless Networks

Saidu

Shinkafi

Roko

et al. 2019

EJECE

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Broadband Wireless networks (BWNs) provide a reliable internet access for the delivery of high-speed multimedia applications. The BWNs such as WiMAX provides quality of service (QoS) support for heterogeneous service classes with diverse QoS requirements. Scheduling algorithm is one of the mechanisms used to assure QoS. The existing scheduling algorithm uses a priority value to prioritize traffics according to varying traffic conditions. However, it wastes network resources due to failure to consider channel conditions; thus, lead to increase in delay and packet loss as well as decrease in throughput. In this paper, a prioritized load aware weighted round robin (PLAWRR) algorithm is proposed to improve resource utilization. The PLAWRR algorithm employs a modified value priority according to not only traffic load but also channel condition and throughput history for traffics prioritization. It also introduces a new dynamic weight according to the prioritization value. The performance of the proposed algorithm is evaluated using simulations. The results show that the proposed PLAWRR achieves superior performance compared to the existing algorithm in terms of delay and packet loss as well as increase in throughput.

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Enhanced Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks

Mohammed

Abdulazeez

Yusuf

2020

International Journal of Wireless Networks and Broadband Technologies

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WiMAX, one of the emerging wireless broadband networks, was designed to support traffic from applications with diverse QoS requirements. In WiMAX, an efficient resource management technique such as scheduling is required for the proper allocation of network resources to these data streams. This article proposes an enhanced priority load-aware scheduling (EPLAS) algorithm to improve the performance of WiMAX networks. The proposed scheme adaptively determines the weight of each queue based on the queue load. It also introduces a packet drop control mechanism that reduces the packet drop rate and increases the average throughput of the network by prioritizing packets with the earliest deadlines within each queue. The performance of EPLAS was evaluated against other benchmark schemes using several simulation experiments. The results revealed that EPLAS performed significantly better than the benchmark algorithms in terms of average delay, average packet drop ratio, and average throughput.

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A Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks

Cited by 4 publications

References 7 publications

Performance Evaluation of Priority Load-Aware Scheduling (PLAS) Algorithm for IEEE802.16 Networks

Performance Evaluation of Priority Load-Aware Scheduling (PLAS) Algorithm for IEEE802.16 Networks

A Prioritized Load Aware Weighted Round Robin (PLAWRR) algorithm in Broadband Wireless Networks

Enhanced Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks

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