Abstract
IEEE 802.11 networks have a great role to play in supporting and deploying of the Internet of Things (IoT). The realization of IoT depends on the ability of the network to handle a massive number of stations and transmissions, and to support Quality of Service (QoS). IEEE 802.11 networks enable the QoS by applying the Enhanced Distributed Channel Access (EDCA) with static parameters regardless of existing network capacity or which Access Category (AC) of QoS is already active. Our objective in this paper is to improve the efficiency of the uplink access in 802.11 networks; therefore we proposed an algorithm called QoS Categories Activeness-Aware Adaptive EDCA Algorithm (QCAAAE) which adapts Contention Window (CW) size, and Arbitration Inter-Frame Space Number (AIFSN) values depending on the number of associated Stations (STAs) and considering the presence of each AC. For different traffic scenarios, the simulation results confirm the outperformance of the proposed algorithm in terms of throughput (increased on average 23%) and retransmission attempts rate (decreased on average 47%) considering acceptable delay for sensitive delay services.
Highlights
The Internet of Things (IoT) is a heterogeneous concept that combines many different technologies, application domains, equipment facilities, and different services, etc
In traditional Enhanced Distributed Channel Access (EDCA), IEEE sets the Contention Window (CW) size to a static lower value for sensitive delay services, which mean a dramatic degradation of the performance in case of dense networks due to higher rates of collision and retransmission packets; this led to higher rates of delay [10]
We proposed the Quality of Service (QoS) Categories Activeness-Aware Adaptive EDCA Algorithm (QCAAAE) algorithm for IEEE 802.11 Medium Access Control (MAC) to make EDCA parameters -especially CW size and Arbitration Inter-Frame Space Number (AIFSN) values- dynamically tuning, depending on the number of associated STAs in each Access Category (AC), and considering the presence of each type of ACs
Summary
The Internet of Things (IoT) is a heterogeneous concept that combines many different technologies, application domains, equipment facilities, and different services, etc. In traditional EDCA, IEEE sets the CW size to a static lower value for sensitive delay services, which mean a dramatic degradation of the performance in case of dense networks due to higher rates of collision and retransmission packets; this led to higher rates of delay [10]. We proposed the QoS Categories Activeness-Aware Adaptive EDCA Algorithm (QCAAAE) algorithm for IEEE 802.11 Medium Access Control (MAC) to make EDCA parameters -especially CW size and AIFSN values- dynamically tuning, depending on the number of associated STAs in each AC, and considering the presence of each type of ACs. For different traffic scenarios, the simulation results confirm the outperformance of the QCAAAE algorithm in terms of throughput and retransmission rate considering acceptable delay for sensitive delay services.
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