scholarly journals Optimasi Penataan Access Point Pada Jaringan Nirkabel Menggunakan Algoritma Simulated Annealing

2021 ◽  
Vol 18 (1) ◽  
pp. 32
Author(s):  
I Gede Suka Artawan ◽  
Gede Saindra Santyadiputra ◽  
Ketut Agustini
Keyword(s):  
Simulated Annealing ◽  
Access Point ◽  
Coverage Area ◽  
Analysis Design

Optimasi penataan access point adalah salah satu permasalahan dalam bidang pengembangan infrastruktur jaringan. Dalam optimasi tersebut memerlukan suatu analisis sebelum diimplementasikan. Tujuan optimasi pada access point yaitu mendeskripsikan penerapan algoritma Simulated Annealing (SA) dalam optimasi penataan access point pada jaringan nirkabel di Auditorium Undiksha dan mengukur perbedaan sebelum dan sesudah dilakukan optimasi. Metode yang digunakan dalam penelitian ini adalah SADTC yang tediri dari 5 tahapan, yaitu Studies, Analysis, Design, Testing, dan Conclusion. Dalam tahapan design dari metode tersebut digunakan 2 kondisi yaitu pemodelan sistem berdasarkan kondisi sebenarnya dan pemodelan sistem berdasarkan algoritma Simulated Annealing. Hasil dari 2 kondisi dengan 3 access point yang berbeda diperoleh persentase coverage area awal sebesar 11% dan ketika diterapkannya algoritma Simulated Annealing hasilnya berupa 10 titik koordinat dari 3 access point yang berbeda serta nilai coverage area dengan rata-rata persentase sebesar 20% untuk access point1, 18% untuk access point2, dan 20% untuk access point3. Dari hasil penelitian tersebut diharapkan mampu menentukan pemodelan yang sesuai saat mengimplementasikan optimasi penataan access point pada jaringan Nirkabel menggunakan algoritma Simulated Annealing.

scholarly journals Analisis Sinyal Wireless Berdasarkan Jarak Antar Access Point Menggunakan Metode Simulated Annealing Pada SMAN 1 Praya Tengah

2018 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
MUHAMMAD FAUZI ZULKARNAEN ◽  
Moh Husni Taufik ◽  
Maemun Saleh
Keyword(s):  
Wireless Networks ◽  
Simulated Annealing ◽  
Wireless Network ◽  
Access Point ◽  
Coverage Area ◽  
Point Position ◽  
Point Placement

Access point placement on wireless networks is needed to optimize the strength of signal received by receiver from transmitter. The most influential parameter in determining the performance of access point position is signal strenght, because this value will be used to determine the coverage area of a access point. In this research, signal strengths of access point to receiver in the SMAN 1 Praya Tengah have been measured using inSSIDer application and results in the values of RSSI from transmitter to receiver. Data obtained from the filed measurements are used to analyse the influence of access point placement using simulate annealing. The research conducted is expected to generate an appropriate position and analysis for further optimization of access point position on wireless network.

scholarly journals Optimisasi Penempatan Posisi Access Point pada Jaringan Wi-Fi Menggunakan Metode Simulated Annealing

2015 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Nila Feby Puspitasari ◽  
Reza Pulungan
Keyword(s):  
Simulated Annealing ◽  
Field Measurements ◽  
Signal Strength ◽  
Access Point ◽  
Line Of Sight ◽  
Coverage Area ◽  
Point Position ◽  
Received Signal Strength Indication ◽  
Point Placement ◽  
Non Line Of Sight

Penempatan access point pada jaringan Wi-Fi yang tepat sangat diperlukan untuk mengoptimalkan kekuatan sinyal yang diterima dari transmitter terhadap receiver. Parameter yang paling mempengaruhi dalam menentukan performa access point adalah nilai kekuatan sinyal, karena nilai inilah yang akan digunakan untuk menentukan coverage area (cakupan sinyal) dari sebuah transmitter (access point).Pada penelitan ini telah dilakukan pengukuran terhadap kekuatan sinyal access point terhadap penerima di ruang dosen dan lobi gedung 2 lantai 1 STMIK AMIKOM Yogyakarta yang diukur menggunakan aplikasi inSSIDer dan menghasilkan nilai RSSI (Received Signal Strength Indication) dari sebuah transmitter terhadap receiver. Dalam pengukuran juga digunakan propagasi Line Of Sight (LOS) dan propagasi Non Line Of Sight (NLOS). Data yang diperoleh dari hasil pengukuran di lapangan digunakan untuk melakukan pemodelan penempatan access point menggunakan metode simulated anneling. Kekuatan sinyal RSSI yang diterima oleh receiver tidak hanya bergantung pada jarak antara transmitter dan receiver, akan tetapi menunjukkan variasi yang besar terhadap fading dan shadowing pada sebuah lokasi, juga pengaruh interferensi dapat menyebabkan penurunan sinyal (RSSI) yang diterima oleh receiver.Dari hasil penelitian yang dilakukan, diharapkan dapat menghasilkan pemodelan yang sesuai dan tepat guna dalam melakukan optimisasi penempatan access point pada jaringan Wi-Fi menggunakan metode simulated annealing.Access point placement on Wi-Fi networks is needed to optimize the strength of signal received by receiver from transmitter. The most influential parameter in determining the performance of access point position is signal strength, because this value will be used to determine the coverage area of a transmitter.In this research, signal strengths of access point to receiver in the faculty room and the lobby floor 1 of building 2 at STMIK AMIKOM Yogyakarta have been measured using inSSIDer application and results in the values of RSSI from transmitter to receiver. Also measured are LOS propagation and NLOS propagation. Data obtained from the field measurements are used to model and analyse the influence of access point placement using simulated annealing. It is found that the RSSI signal strength received by the receiver does not only depend on the distance between the transmitter and receiver, but also shows large variations caused by the fading and shadowing at a location. The interference also causes a decrease in the signal (RSSI) received by the receiver.The research conducted is expected to generate an appropriate model and analysis for further optimization of access point position on Wi-Fi network using simulated annealing.

Wireless Sensor or Access-Point Deployment Using Coverage-Area Maximization over Visibility Graph

2021 ◽  
Author(s):  
Venkata Gadiraju ◽  
Hsiao-Chun Wu ◽  
Costas Busch ◽  
Prasanga Neupane ◽  
Shih Yu Chang
Keyword(s):  
Access Point ◽  
Visibility Graph ◽  
Wireless Sensor ◽  
Coverage Area

scholarly journals One Slope Model: Efforts to Optimize Wifi Networks in the Office of communication and informatics in Palembang

2020 ◽  
Vol 2 (1) ◽  
pp. 23-32
Author(s):  
Winda Wulandari ◽  
Ari Muzakir
Keyword(s):  
Network Performance ◽  
Access Point ◽  
Wifi Networks ◽  
Coverage Area ◽  
Propagation Models ◽  
Existing Problems ◽  
The One ◽  
The City ◽  
Point Placement

Information technology in the field of transmission that is currently developing, one of which is Wi-Fi. Wi-Fi devices provide user convenience in carrying out their activities. The quality of Wi-Fi network performance can be known by the reception of the signal received by the user. If the placement of an access point (AP) is done correctly, the network will be optimized. There are several propagation models in the room that can be used as a guideline in determining the placement of the AP, one slope model is a way to measure the average level of a building and only depends on the distance of the transmitter and receiver. This research was conducted in order to overcome the problem of Wi-Fi network area coverage at the Office of Communication and Information of the City of Palembang. This study conducted an experiment to change the layout of AP's placement, measure and calculate data in priority with the one slope model. The results of measurements and calculations carried out analysis and comparison in order to determine the results of the experiments conducted. The results of this study indicate that an attempt to change the AP layout with one slope model can overcome existing problems and get better Wi-Fi coverage area performance. In the calculation with the one slope model of the 2-trial access point placement results in a decrease and an increase in signal. The signal reduction occurred in experiment 1, whereas in experiment 2 (design 2) the signal increased by 1.46dBm.

scholarly journals ANALISIS CAKUPAN LAYANAN WI-FI GEDUNG PASCASARJANA UNIVERSITAS UDAYANA

2019 ◽  
Vol 6 (2) ◽  
pp. 60
Author(s):  
Putu Dhiko Pradnyana ◽  
D.M. Wiharta ◽  
N.P. Sastra
Keyword(s):  
Packet Loss ◽  
Wireless Lan ◽  
Access Point ◽  
Floor Plan ◽  
Wireless Technology ◽  
Coverage Area ◽  
Level Measurement ◽  
Delay Measurement ◽  
Calculation Results

The main changes in the telecommunication during these present days come mainly from wired technology to wireless technology. The Wireless LAN (WLAN) configuration consists of an access point, connected to users using air medium. The postgraduate building of Universitas Udayana has been equipped with a wireless network, supporting the study activities within the building. This research explains regarding the signal level quality and the Quality of Service (QoS) by analyzing the Wi-Fi coverage. The measurements were divided into two models, with and without barriers. The highest result comes to -42 dBm, conversely, the lowest is -82 dBm. Thus, the results show that the throughput value is 3.97 Mbps. Within the maximum bandwidth of 10 Mbps, the average packet-loss is not more than 3%. The delay measurement provides a result of not more than 100 ms, and the jitter obtained is 0.04. According to the digital floor plan, the calculation results of the coverage area match the signal level measurement.

Prediksi Cakupan Area untuk Jaringan Wireless Indoor Kampus berdasarkan Penempatan Access Point

2019 ◽  
Vol 10 (2) ◽  
pp. 73-78
Author(s):  
Fransiska Sisilia Mukti ◽  
Allin Junikhah
Keyword(s):  
System Modeling ◽  
Access Point ◽  
Propagation Path ◽  
Network Access ◽  
Coverage Area ◽  
Long Time ◽  
Spread Pattern ◽  
Coverage Prediction ◽  
The Right ◽  
Closed Environment

The placement of a transmitter in a wireless network (access point) is one of the essential things which must be considered by the network designer. The right placement will give the maximum signal spread, especially for the closed environment, because of the effect of the indoor propagation, which affects the signal strength decrease significantly. Every AP’s placement point will have different signal spread pattern, including the coverage area. The AP placement process carried out so far still uses conventional methods, namely trial-error, which requires a long time to analyze its performance. A coverage prediction system modeling is built to determine the spread of signals generated by an AP. This modeling is done using a statistical approach in 2D. The modeling did a visualization that is run through software and gives the result of mapping the coverage area of an AP. The test results show that the percentage of area coverage generated based on the AP placement used is currently 72.5%. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP. The maximum distance between the AP and the user so that it is within the coverage area is 13.21m

scholarly journals Measurements of the Received Signal Level and Service Coverage Area at the IEEE 802.11 Access Point in the Building

2018 ◽  
Vol 989 ◽  
pp. 012014 ◽  
Author(s):  
N Gunantara ◽  
P K Sudiarta ◽  
AAN A I Prasetya ◽  
A Dharma ◽  
I N Gde Antara
Keyword(s):  
Ieee 802.11 ◽  
Access Point ◽  
Coverage Area ◽  
Service Coverage
Sign in / Sign up

Export Citation Format

Share Document