Mohammed A. Salem1
, Ibrahim F. Tarrad2
, Mohamed I. Youssef 2
and
Sherine M. Abd El-Kader3
1Department of Electrical Engineering, Higher Technological Institute,
10th of Ramadan City, Egypt
2Department of Electrical Engineering, Al-Azhar University, Cairo, Egypt
3Department of Computer Engineering, Electronics Research Institute, Giza, Egypt
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.
KEYWORDS
IoT, IEEE 802.11, EDCA, CW, AIFSN, MAC, QoS
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