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

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.

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

Jurnal Informatika dan Rekayasa Elektronik ◽

10.36595/jire.v1i1.29 ◽

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.

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Penggunaan Metode Simulated Annealing untuk Optimasi Penempatan Posisi Access Point pada Jaringan WI-FI

JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI ◽

10.36722/sst.v5i1.318 ◽

2019 ◽

Vol 5 (1) ◽

pp. 10

Author(s):

Ganang Eko Noviardianto ◽

Muhammad Novel ◽

Mercurius Broto Legowo

Keyword(s):

Simulated Annealing ◽

Statistical Mechanics ◽

Signal Strength ◽

Access Point ◽

Simulated Annealing Method ◽

Access Points ◽

Optimum Solution ◽

Received Signal Strength Indication ◽

Annealing Method

Abstrak – Tujuan dari penelitian ini adalah untuk menempatkan titik akses pada jaringan Wi-Fi. Dengan demikian, kekuatan sinyal yang diterima dari pemancar ke penerima adalah optimal. Masalah muncul ketika menempatkan titik akses untuk mempengaruhi nilai kekuatan sinyal. Selanjutnya, nilai ini akan digunakan untuk menentukan area jangkauan (jangkauan sinyal) dari pemancar (access point). Penelitian ini adalah studi kasus di Kampus Institut Perbanas di mana pengukuran kekuatan sinyal dari titik akses terhadap penerima di unit 2 dan unit 6 dari Perbanas Institute diukur menggunakan aplikasi inSSIDer. Studi kasus ini menghasilkan nilai Indikasi Kekuatan Sinyal yang Diterima (RSSI) dari pemancar ke penerima. Metode Simulated Annealing diterapkan dalam penelitian ini, dengan alasan untuk optimasi generik. Berdasarkan probabilitas dan mekanika statistik, algoritma ini dapat digunakan untuk menemukan pendekatan pada solusi optimal untuk suatu masalah. Hasil penelitian menunjukkan bahwa setelah dilakukan optimisasi menggunakan metode Simulated Annealing prosentase koverage area sebesar 98.66 % dan, diperoleh kenaikan persentase koverage area sebesar 87.15%. Dengan demikian, penelitian ini akan memberikan kontribusi untuk memodelkan penempatan posis titik akses dan kekuatan sinyal pada jaringan Wi-Fi yang diperoleh di Unit 2 dan Unit 6 Kampus Institut PerbanasAbstract – The purpose of this study is to place access points on Wi-Fi networks. Thus, the signal strength received from the transmitter to the receiver is optimal. Problems arise when placing access points to influence the signal strength value. Furthermore, this value will be used to determine the koverage area (signal koverage) of a transmitter (access point). This research is a case study at the Perbanas Institute Campus where measurements of the signal strength of the access point towards recipients in unit 2 and unit 6 of Perbanas Institute were measured using the inSSIDer application. This case study produced a Received Signal Strength Indication (RSSI) value from a transmitter to the receiver. The Simulated Annealing method applied in this study, with reasons for generic optimization. Based on probability and statistical mechanics, this algorithm can be used to find an approach to the optimum solution to a problem. The results showed that after optimization using the Simulated Annealing method the percentage of koverage area was 98.66%. And, the percentage of the koverage area was increased by 87.15%. Thus, this study will contribute to modeling the placement of access points and signal strength in Wi-Fi networks obtained in Units 2 and 6 of the Perbanas Institute Campus.Keywords - Koverage Area, RSSI, Simulated Annealing, Propagation, Wi-Fi

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Analisis Dan Pemodelan Posisi Access Point Pada Jaringan Wi-Fi Menggunakan Metode Simulate Annealing

J-SAKTI (Jurnal Sains Komputer dan Informatika) ◽

10.30645/j-sakti.v1i1.35 ◽

2017 ◽

Vol 1 (1) ◽

pp. 134

Author(s):

Anjar Wanto ◽

Jaya T Hardinata ◽

Herlan F Silaban ◽

Widodo Saputra

Keyword(s):

Signal Strength ◽

Access Point ◽

Received Signal Strength ◽

Received Signal Strength Indication ◽

Point Placement ◽

Annealing Method

Laying the position of the access point on the Wi-Fi network in a room is needed to optimize the signal strength received from the transmitter to the receiver. The parameters that determine the performance of the access point is the value of the signal strength. Strong or weak a signal access point will be affected by distance and barriers that exist between the access point and a client that accesses the access point. This study has been performed several simulations in multiple rooms are placed the access point to the receiver. The parameters used to measure the signal strength using inSSIDer applications that generate value RSSI (Received Signal Strength Indication) of a transmitter to the receiver and barriers (barriers) that may influence the strength of the signal. From this research strength of the signal received by the receiver not only in pengaruhui by the distance between accespoint to the recipient, but rather influenced by barriers (barriers) which is in a room. From the results of the research are expected to be able to obtain appropriate modeling to optimize access point placement position using the Simulate annealing method.

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Non-line-of-sight detection based on TOA and signal strength

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc.2008.4699474 ◽

2008 ◽

Cited By ~ 5

Author(s):

Kegen Yu ◽

Y. Jay Guo

Keyword(s):

Signal Strength ◽

Line Of Sight ◽

Non Line Of Sight

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

Journal of Information Systems and Informatics ◽

10.33557/journalisi.v2i1.36 ◽

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.

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Access Point Placement Recommendation Using Cost-231 Multiwall Propagation

Jurnal Penelitian Pos dan informatika ◽

10.17933/jppi.2020.100202 ◽

2020 ◽

Vol 10 (2) ◽

pp. 103

Author(s):

Fransiska Sisilia Mukti

Keyword(s):

Wave Propagation ◽

Distribution Pattern ◽

Radio Wave ◽

Signal Strength ◽

Access Point ◽

Propagation Model ◽

Radio Wave Propagation ◽

Signal Distribution ◽

Point Placement

This study provides an overview of signal distribution pattern using Cost-231 Multi-Wall (MWM) propagation model. The signal distribution pattern is used as a reference in projecting indoor Access Points (AP) placement in Malang Institute of Asia. The MWM approach estimates the actual radio wave propagation value for measurements are made by considering obstacles between APs and user devices. The study recommends 10 optimal points of AP placement for the 1st, 3rd and 4th-floors, and 7 optimal points for the 2nd-floor. Determination of these placement points was based on the estimated signal strength obtained by users, at -50dBM up to - 10dBm, which is the range for good and excellent signal category.

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Implementing a Distance Estimator for a Wildlife Tracking System Based on 802.15.4

Electronics ◽

10.3390/electronics8121438 ◽

2019 ◽

Vol 8 (12) ◽

pp. 1438

Author(s):

Daniel Cascado-Caballero ◽

Lourdes Duran-Lopez ◽

Juan Pedro Dominguez-Morales ◽

Daniel Gutierrez-Galan ◽

Claudio Amaya-Rodriguez ◽

...

Keyword(s):

National Park ◽

Tracking System ◽

Distance Estimation ◽

Signal Strength ◽

Coverage Area ◽

Wildlife Tracking ◽

Behavioral Classification ◽

Distance Estimator ◽

Received Signal Strength Indication ◽

Validation Experiments

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee modules is designed, implemented and tested in several scenarios. This estimator was used for a research project focused on a wildlife behavioral classification system deployed in Doñana’s National Park. As a supporting feature for that project, this work was implemented for locating animal’s collars acting as wireless nodes in order to find those who went outside of the coverage area of the network or that were accidentally detached from animals. This work describes the system architecture and the implementation of a mobile assistant capable of recovering devices located beyond the coverage of the network. The analytical model needed for distance estimation and the signal filtering are described, as well as the difficulties that the researchers must deal when building robust location estimators. This theoretical model was applied to three different scenarios and tested with two validation experiments.

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Modelling the Effect of Human Body around User on Signal Strength and Accuracy of Indoor Positioning

International Journal of Integrated Engineering ◽

10.30880/ijie.2020.12.07.008 ◽

2020 ◽

Vol 12 (7) ◽

Author(s):

Firdaus Firdaus ◽

◽

Noor Azurati Ahmad ◽

Shamsul Sahibuddin ◽

Rudzidatul Akmam Dziyauddin ◽

...

Keyword(s):

Human Body ◽

Signal Strength ◽

Indoor Positioning ◽

Position Estimation ◽

Line Of Sight ◽

Minimal Cost ◽

The People ◽

Indoor Positioning System ◽

Presence Of People ◽

Non Line Of Sight

WLAN indoor positioning system (IPS) has high accurate of position estimation and minimal cost. However, environmental conditions such as the people presence effect (PPE) greatly influence WLAN signal and it will decrease the accuracy. This research modelled the effect of people around user on signal strength and the accuracy. We have modelled the human body around user effects by proposed a general equation of decrease in signal strength as function of position, distance, and number of people. Signal strength decreased from 5 dBm to 1 dBm when people in line of sight (LOS) position, and start from 0.5 dBm to 0.3 dBm when people in non-line of sight (NLOS) position. The system accuracy decreases due to the presence of people. When the system is in NLOS case, the presence of people causes a decrease in accuracy from 33% to 57%. Then the accuracy decrease from 273% to 334% in LOS case.

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The Improved Personnel Location Algorithm Based on RSSI

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.712-715.2003 ◽

2013 ◽

Vol 712-715 ◽

pp. 2003-2006

Author(s):

Sheng Mei Zhou ◽

Ting Lei Huang

Keyword(s):

Signal Strength ◽

Wireless Sensor ◽

Line Of Sight ◽

Localization Algorithm ◽

Matlab Simulation ◽

Node Localization ◽

Received Signal Strength Indicator ◽

Positioning Accuracy ◽

Location Algorithm ◽

Non Line Of Sight

In the process of that based on the RSSI received signal strength indicator technique, resulting in the positioning accuracy is so low, since the simple RSSI, multipath, diffraction and non line of sight and other factors. In order to achieve higher accuracy node localization in wireless sensor, the paper is proposed based on the probability of recycling triangle centroid location algorithm in the RSSI technique,The probability of the cycle to handle triangle centroid localization algorithm. Through the Matlab simulation, compared with the traditional triangle centroid localization algorithm, the error is significantly reduced and positioning accuracy improved when the anchor point number exceeds a certain number.

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