e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings

Research Article

A Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-98827-6_4,
        author={Aminu Mohammed and Ibrahim Saidu and Abdulhakeem Abdulazeez},
        title={A Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings},
        proceedings_a={AFRICOMM},
        year={2018},
        month={8},
        keywords={WRR Scheduling algorithm WiMAX QoS},
        doi={10.1007/978-3-319-98827-6_4}
    }
    
  • Aminu Mohammed
    Ibrahim Saidu
    Abdulhakeem Abdulazeez
    Year: 2018
    A Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-319-98827-6_4
Aminu Mohammed1,*, Ibrahim Saidu1,*, Abdulhakeem Abdulazeez1,*
  • 1: Usmanu Danfodiyo University
*Contact email: mohammed.aminu@udusok.edu.ng, ibrahim.saidu@udusok.edu.ng, abdulhakeem.abdulazeez@udusok.edu.ng

Abstract

Wireless broadband networks are emerging as reliable internet access alternatives for delivery of high speed multimedia services. WiMAX is one of such networks, designed to provide quality of service (QoS) support for different service classes with varying QoS requirements. Scheduling algorithms are required to provide such support. The existing scheduling algorithm uses dynamic weight to allocate resources based on traffic loads. However, it increases delay of real time traffics due to failure of the weight to prioritize traffics. This paper proposes a priority load aware scheduling (PLAS) algorithm to reduce delay in real time traffics. The PLAS algorithm introduces a priority value to prioritize real time traffics over non-real time traffics. The algorithm was evaluated using extensive simulations. The results show that the PLAS outperforms the existing algorithm in terms of delay.