Energy efficient contention window adaptation algorithm for multi-class traffic
Paper
Paper/Presentation Title | Energy efficient contention window adaptation algorithm for multi-class traffic |
---|---|
Presentation Type | Paper |
Authors | Norsyafizan, Wan, Muhamad, W., Khan, Jamil and Brown, Jason |
Journal or Proceedings Title | Proceedings of 2015 IEEE International RF and Microwave Conference (RFM) |
Journal Citation | pp. 54-59 |
Number of Pages | 6 |
Year | 2016 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
Digital Object Identifier (DOI) | https://doi.org/10.1109/RFM.2015.7587716 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/abstract/document/7587716 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/7581289/proceeding |
Conference/Event | 2015 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. |
Keywords | contention window (CW); traffic class; backoff; energy efficiency; QoS |
ANZSRC Field of Research 2020 | 400902. Digital electronic devices |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | MARA University of Technology, Malaysia |
University of Newcastle | |
School of Engineering |
https://research.usq.edu.au/item/z243w/energy-efficient-contention-window-adaptation-algorithm-for-multi-class-traffic
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