Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 6 No 3: Agustus 2017

Analisis Unjuk Kerja Perubahan Jumlah Node dan RAW Station pada IEEE 802.11ah

Triani Wulandari (Universitas Telkom)
Doan Perdana (Universitas Telkom)
Ridha Muldina Negara (Universitas Telkom)



Article Info

Publish Date
06 Sep 2017

Abstract

Rapid development of wireless network impacts the development of IEEE 802.11x standard technology. However, the existing standard technologies still can not solve the problem of capacity, coverage, and power consumption. Due to these limitations, IEEE 802.11ah standard was made. IEEE 802.11ah is a standard of Wi-Fi technology that supports wireless networking scenarios, such as ability to arrange the large number of devices, a wide range of coverage, and power consumption mechanism on a limited energy condition. Wireless network is a best-effort network in delivering package. But VoIP service on the wireless network has lower QoS value, compared to the network using cables. This paper addresses the performance analysis of 802.11ah standard against VoIP services, especially at the MAC layer. To analyze the influence of node density and performance of RAW mechanism on VoIP service, a simulation is conducted through two scenarios, which are changing the number of nodes and RAW station. The simulation is performed using network simulator NS3 version 3.23. Analysis results show with the increasing number of nodes, the value of throughput and delay increase by 60.09% and 93.43%. Then, with the increasing number of RAW station, throughput and delay value have increased by 81.54% and 43.45%. The increase stops in a constant value when the number of RAW station has exceeded the number of nodes in the network.

Copyrights © 2017






Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...