Energy efficient contention window adaptation algorithm for multi-class traffic

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.