Abstract
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.
Highlights
Broadband Wireless Access (BWA) has gained growing acceptance worldwide recently [1]
The prioritized load aware weighted round robin (PLAWRR) algorithm employs a modified prioritization value according to the traffic characteristics and channel conditions as well throughput history to prioritize traffics
The proposed PLAWRR achieves superior performance because of consideration to channel conditions as well as historic throughput to increase the resource availability in order to avoid prolong queueing, which may lead to packet loss when resources are inefficient
Summary
Broadband Wireless Access (BWA) has gained growing acceptance worldwide recently [1]. It is anticipated to be a viable alternative to traditional wired broadband techniques due to its cost-competitiveness, ubiquitous access, and Quality of Service (QoS) capabilities Because it is a wireless technology, in which resources are limited such as bandwidth; how to manage these resources while maintaining QoS to diverse applications become a critical issue. The LAWR employs dynamic weight in order to reduce delay and packet loss and improve throughput It increases delay of real time traffic. The PLAWRR algorithm employs a modified prioritization value according to the traffic characteristics and channel conditions as well throughput history to prioritize traffics It introduces a new dynamic weight based on a priority value to increase number of packets to be served.
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