Energy efficient contention window adaptation algorithm for multi-class traffic

Paper


Norsyafizan, Wan, Muhamad, W., Khan, Jamil and Brown, Jason. 2016. "Energy efficient contention window adaptation algorithm for multi-class traffic ." 2015 IEEE International RF and Microwave Conference (RFM). Kuching, Malaysia 14 - 16 Dec 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/RFM.2015.7587716
Paper/Presentation Title

Energy efficient contention window adaptation algorithm for multi-class traffic

Presentation TypePaper
AuthorsNorsyafizan, Wan, Muhamad, W., Khan, Jamil and Brown, Jason
Journal or Proceedings TitleProceedings of 2015 IEEE International RF and Microwave Conference (RFM)
Journal Citationpp. 54-59
Number of Pages6
Year2016
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
Digital Object Identifier (DOI)https://doi.org/10.1109/RFM.2015.7587716
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/abstract/document/7587716
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/7581289/proceeding
Conference/Event2015 IEEE International RF and Microwave Conference (RFM)
Event Details
2015 IEEE International RF and Microwave Conference (RFM)
Parent
IEEE International RF and Microwave Conference
Delivery
In person
Event Date
14 to end of 16 Dec 2015
Event Location
Kuching, Malaysia
Abstract

This paper introduces a new contention window (CW) adaptation algorithm with the main objective of reducing energy consumption while maintaining required Quality of Service (QoS) for multi-class traffic with different priorities. The main concept of the proposed algorithm is adaptively adjust the contention window (CW) size according to the network load conditions and each traffic class applies different set of CW adaptation algorithm. The proposed algorithm introduces two different traffic class which are best effort (BE) and voice (VO). High priority traffic which is voice has a higher chance of being sent, therefore the algorithm propose smaller CW size for voice service in order to allow for easy access as compared to best effort service. Performance analysis is carried out using an OPNET based simulation model to study the effects of CW adaptation on the energy efficiency and QoS performance. The results show that the proposed algorithm outperforms the standard EDCA mechanism in terms of reducing collision level which leads to higher energy efficiency as well as better QoS performance.

Keywordscontention window (CW); traffic class; backoff; energy efficiency; QoS
ANZSRC Field of Research 2020400902. Digital electronic devices
Public Notes

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Byline AffiliationsMARA University of Technology, Malaysia
University of Newcastle
School of Engineering
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