Optimalisasi Penentuan Posisi Access Point Pada Ruang Tertutup Menggunakan Algoritma Genetika

WiFi is a term used for wireless network devices (WLAN) based on IEEE 802.11 standard. Access Point is a WLAN device that is used as a transmitter or receiver. One of the parameters that can determine the performance of a WiFi is the coverage area of an access point. Placement it is not appropriate with environmental conditions will cause some of an area that is not covered or a blankspot area. In this research, the position of the access point was optimized using a genetic algorithm based on position and coverage area. Total coverage area is obtained by determining the union coverage area of all access points which appropriate with the range that is determined using indoor propagation model. From the research results, the most optimal number of access points is 5 access points. The existing condition with 5 access points has a coverage area of 75,27%, while optimization using 5 access points has a coverage area of 96,64%. The optimization can increase the coverage area by 21,38% and reduce the blank spot area to 3,36%.

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Publication Details

Journal
DIELEKTRIKA
Published
2024-08-31
DOI
https://doi.org/10.29303/dielektrika.v11i2.358
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
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article

Optimalisasi Penentuan Posisi Access Point Pada Ruang Tertutup Menggunakan Algoritma Genetika

Misbahuddin Misbahuddin, Djul Fikry, Aprialdy Budi Saputra
DIELEKTRIKA
Computer Science and Engineering
article

Optimalisasi Penentuan Posisi Access Point Pada Ruang Tertutup Menggunakan Algoritma Genetika

Misbahuddin Misbahuddin, Djul Fikry, Aprialdy Budi Saputra
article en

Abstract

WiFi is a term used for wireless network devices (WLAN) based on IEEE 802.11 standard. Access Point is a WLAN device that is used as a transmitter or receiver. One of the parameters that can determine the performance of a WiFi is the coverage area of an access point. Placement it is not appropriate with environmental conditions will cause some of an area that is not covered or a blankspot area. In this research, the position of the access point was optimized using a genetic algorithm based on position and coverage area. Total coverage area is obtained by determining the union coverage area of all access points which appropriate with the range that is determined using indoor propagation model. From the research results, the most optimal number of access points is 5 access points. The existing condition with 5 access points has a coverage area of 75,27%, while optimization using 5 access points has a coverage area of 96,64%. The optimization can increase the coverage area by 21,38% and reduce the blank spot area to 3,36%.

DIELEKTRIKAVol. 11(2)
University of Mataram (ID), Universitas Wiralodra (ID)
Openalex Percentile: Top 88%
Computer Science and Engineering
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Optimalisasi Penentuan Posisi Access Point Pada Ruang Tertutup Menggunakan Algoritma Genetika — Misbahuddin Misbahuddin, Djul Fikry, et al. · DIELEKTRIKA (2024) | TGRS Research Map | TGRS