Abstract
IEEE 802.11ah WLAN is a technology standard for IoT networks because it can provide a higher transmission range and data rate than WPAN and LPWAN. To manage channel access up to 8191 at the MAC layer IEEE 802.11ah a Restricted Access Window scheme was introduced. Generally, evaluation and optimization of RAW parameters are only based on constant data rates without taking into account the mutirate support for PHY AP and STA IoT IEEE 802.11ah. This study uses an open source-based NS-3 network simulator. Simulation analysis is run by calculating the value of throughput, delay, packet loss, and energy consumption of each node. Based on testing the effect of the number of slots on throughput, it shows that the resulting throughput values fluctuate with stable dominance, depending on the number of slots used. The effect of the number of slots on packet loss shows that the packet loss value is low for each slot because more packets can be accommodated in the RAW slot queue. The effect of the number of slots on energy consumption decreases at some data rates and some lower energy consumption values, thereby saving energy consumption.
Highlights
IEEE 802.11ah Wireless Local Area Network (WLAN) is a technology standard for Internet of Things (IoT) networks because it can provide a higher transmission range and data rate than WPAN and LPWAN
evaluation and optimization of Restricted Access Window (RAW) parameters are only based on constant data rates
Simulation analysis is run by calculating the value of throughput
Summary
Standar Wi-Fi IEEE 802.11ah secara resmi dirilis pada tahun 2016. Perangkat ini beroperasi dengan kecepatan data mulai dari 150 Kbps hingga 78 Mbps dalam satu aliran spasial [1]. Zegbee memiliki data rate hingga 1 Mbps, namun jarak berdasarkan nilai parameter RAW Group. LPWAN seperti LoRAWAN dan SigFox memiliki jarak Terdistribusi (DCF) yakni metode akses media berbasis jangkau hingga 40 km, namun hanya mendukung data contention yang menggunakan Binary Exponential rate hingga 25 kbps [3]. Perangkat IoT pada satu Access Point (AP) yang sama mengevaluasi dan mengoptimalkan parameter RAW sehingga sangat sesuai untuk berbagai aplikasi IoT. Beberapa peneliti lain mengevaluasi dan mengoptimalkan paramater RAW berdasarkan proses komputasi yang lebih sederhana seperti dalam paper [11]-[14]. A. Sljivo, dkk [14] mengevaluasi parameter RAW optimal berdasarkan kondisi trafik dua arah. Namun evaluasi dan optimasi parameter RAW yang telah diusulkan oleh literatur-literatur tersebut hanya berdasarkan data rate konstan tanpa memperhitungkan dukungan mutirate pada PHY AP dan STA IoT IEEE 802.11ah
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