scholarly journals Design and Development of Android-Based Indoor Wi-Fi Site Survey Application

2021 ◽  
Vol 9 (3) ◽  
pp. 276
Author(s):  
Ida Bagus Kade Taruna ◽  
I Made Agus Dwi Suarjaya ◽  
I Putu Agus Eka Pratama
Keyword(s):  
Wireless Network ◽  
Dead Reckoning ◽  
Signal Strength ◽  
Access Point ◽  
Receive Signal Strength Indicator ◽  
Living Room ◽  
Application Development ◽  
Design And Development ◽  
Coverage Area ◽  
Indoor Wireless

In the indoor wireless network technology, it is found that there are many disturbances such as interference with LOS (Line of Sight), improper access point position, and low signal strength. To overcome these disturbances, wireless network optimization can be done by conducting a survey or analysis of the coverage area and quality of service. This analysis can be done by using an application, however available applications are mostly desktop applications, which makes surveying the indoor wireless network less efficient. This study discusses the design and development of mobile applications that can be used to analyze Wi-Fi networks in an indoor environment which can provide information about the coverage area of ??a Wi-Fi network. The application development uses the PDR (Pedestrian Dead Reckoning) RSSI (Receive Signal Strength Indicator) classification method. Application testing was carried out using two different scenarios, where in the first scenario the Wi-Fi network source was placed in the living room area, while in the second scenario the Wi-Fi network source was placed in the bedroom area 2. The result of the test carried out is the application can provide information regarding the coverage area of the signal from the two positions of different Wi-Fi network sources in a heatmap format that can be easily understood and can be used to optimize Wi-Fi networks in the future. Keywords : Android Application, Wireless Network, Sensor, Network Survey

scholarly journals Penerapan Wireless Distribution System (WDS) Mesh Untuk Optimasi Coverage Area Wifi Universitas Muhammadiyah Jember

2019 ◽  
Author(s):  
Achmad Riyadus Sholikhin ◽  
Triawan Adi Cahyanto
Keyword(s):  
Distribution System ◽  
Wireless Lan ◽  
Signal Strength ◽  
Access Point ◽  
Signal To Noise ◽  
Coverage Area

Salah satu perubahan yang sangat pesat di dalam jaringan komputer adalah penggunaan wireless LAN (WLAN) untuk mengakses jaringan baik lokal maupun internet. Salah satu cara penambahan Access Point (AP) yang tidak mengubah konfigurasi software yang telah di gunakan yaitu menggunakan jaringan Wireless Distribution System Mesh (WDS). Penggunaan WDS mesh di Universitas Muhammmadiyah Jember memungkinkan konfigurasi wireless yang sedikit berbeda agar dapat mengurangi terputusnya koneksi pada pengguna karena jangkauan area jaringan wireless. Salah satu langkah adalah dengan menggunakan beberapa perangkat Acesss Point menjadi satu kesatuan untuk menangani kasus terputusnya koneksi dengan memanfaatkan service jaringan yaitu WDS Mesh. Wireless Distribution System atau (WDS) Mesh mampu meng- coverage area wifi di Universitas Muhammadiyah Jember dan hasil ujicoba serta analisa device client terhadap AP yang sudah di WDS Mesh dengan parameter Signal Strength, CCQ, Signal to Noise, Throughput adalah Excellent (Bagus)

scholarly journals COMPARISON OF WIRELESS ADAPTERS INTERFERENCE BASED ON DIFFERENCES OF FLOOR POSITION

2021 ◽  
Vol 83 (4) ◽  
pp. 151-157
Author(s):  
Sasa Ani Arnomo ◽  
Yulia Yulia ◽  
Noraini Ibrahim
Keyword(s):  
Wireless Network ◽  
Signal Strength ◽  
Access Point ◽  
Received Signal Strength ◽  
Weak Signal ◽  
Received Signal Strength Indicator ◽  
Average Value ◽  
Internet Users ◽  
Wireless Signal

The wireless network adapter has now been widely developed. The wireless adapter receives signal strength has several levels. It depends on the signal strength of the device with respect to the wireless signal and access point. The external adapter is used by computers that are not equipped with a wireless network adapter. Usually, internet users use a USB wireless adapter. An external adapter can also amplify signal reception from hotspots. The problem is how users consider using an external wireless adapter or just an onboard wireless adapter when there are many networks interfering with the weak signal strength of the access point. The method is implemented by measuring the value of the Received Signal Strength Indicator (RSSI). The purpose of this study is to compare the received signal strength in conditions where the signal before interference and after experiencing interference (interference). Meanwhile, the measured RSSI value is divided into four floors and with different distances for each floor. Each floor is measured by five distances. The average value of signal strength at a distance of 10 meters is -74 dBm using the onboard wireless adapter and -69 dBm using a USB wireless adapter. The value obtained after the interference is -75 dBm and the USB wireless adapter gets -61 dBm. The reduction of the RSSI value between interference and non-interference is 3%. The onboard wireless adapter is affected by interference while the external wireless adapter is not affected. 

scholarly journals OPTIMALISASI JARINGAN NIRKABEL DENGAN METODE RSSI DI AIKOM TERNATE

2021 ◽  
Vol 9 (1) ◽  
pp. 108-115
Author(s):  
Laroma Larumbia ◽  
Susanti H Hasan ◽  
Seh Turuy
Keyword(s):  
Signal Strength ◽  
Access Point ◽  
Blind Spot ◽  
Data Rate ◽  
Receive Signal ◽  
Receive Signal Strength ◽  
Receive Signal Strength Indicator ◽  
Wireless Monitoring

Penelitian ini bertujuan untuk optimalisasi jaringan nirkabel dari titik buta atau blind spot di lingkungan kampus AIKOM Ternate. Area-area titik buta ini membuat pengguna jaringan nirkabel (dosen, staf, dan mahasiswa) tidak nyaman dikarenakan harus mendekat ke sumber jaringan (access point (AP)) terdekat agar dapat mengakses jaringan internet ataupun intranet. Dengan optimalisasi jaringan nirkabel ini, area jangkauan jaringan nirkabel disesuikan dengan kebutuhan agar tidak ada lagi titik buta. Penggunaan aplikasi Wireless Monitoring (Wirelessmon) untuk mendeteksi area jangkauan dari setiap AP yang dipasang, yang diukur adalah receive signal strength indicator (RSSI), termasuk penentuan penggunaan kanal dari setiap AP agar tidak tumpang tindih atau overlapping dalam penggunaan kanal pada setiap AP dan data rate yang mengalami peningkatan dan penurunan menyesuaikan dengan kualitas sinyal yang diterima. Hasil penelitian ini menunjukkan setelah dilakukannya optimalisasi dengan memasang AP pada lima titik. Optimalisasi jaringan nirkabel pada kampus AIKOM Ternate berhasil dengan RSSI -61dBm sampai dengan -44dBm, RSSI termasuk dalam kategori sangat bagus (very good). Disarankan pengukuran RSSI menggunakan software lebih dari satu sehingga dilakukan perbandingan, melakukan perbandingan RSSI yang diterima dengan throughput yang dihasilkan pada perangkat yang berbeda, dan pengelola jaringan dapat menggunakan hasil penelitian ini akan tetapi penggunaan perangkat dengan spesifikasi yang berbeda dengan yang digunakan dalam penelitian ini maka disarankan untuk melakukan pengambilan data ulang agar hasilnya maksimal.

scholarly journals Implementasi Internal Wireless Roaming Menggunakan Mikrotik Wireless Distribution System (WDS) Pada STMIK Lombok

2018 ◽  
Vol 1 (1) ◽  
pp. 38
Author(s):  
Mohammad Taufan Asri Zaen ◽  
Falah Husni
Keyword(s):  
Wireless Network ◽  
Distribution System ◽  
Access Point ◽  
Coverage Area ◽  
Basic Service ◽  
Signal Coverage ◽  
Extended Service

Currently the hotspot network used by students in STMIK Lombok uses Basic Service Set topology (BSS), therefore different Service Set Identifier (SSID) in each Access Point (AP) causes the mobility and reliability of the hotspot network to decrease. To overcome this problem can be applied hotspot system with Extended Service Set topology (ESS) that uses more than one AP and integrate all AP into a single wireless network using Internal Wireless Roaming so that client mobility is not disturbed when moving locations in the campus area without having to reconfigured. The signal coverage test of roaming network that has been done in STMIK Lombok using Wireless Distribution System (WDS) has not reached all campus area but can be overcome by adding AP to increase coverage area. Roaming that runs between APs can work but requires more time in the process of moving.

scholarly journals A Coverage Prediction Technique for Indoor Wireless Campus Network

2019 ◽  
Vol 11 (3) ◽  
pp. 73-79
Author(s):  
Fransiska Sisilia Mukti ◽  
Allin Junikhah
Keyword(s):  
Access Point ◽  
Propagation Path ◽  
Campus Network ◽  
Coverage Area ◽  
Entire Area ◽  
Indoor Wireless ◽  
Prediction Technique ◽  
Real Size ◽  
Coverage Prediction

The placement of an Access Point (AP) is an important key to determine the spread of the signal. To get the optimal spread of signals, a network designer is required to understand how much coverage an AP can generate. A prediction is given to describe the coverage area produced based on AP placement for the wireless campus network, using a coordinate map modeling based on the real size for the indoor environment. The theoretical approach is used to determine the coverage area of an AP device by testing the function of the distance between the AP and the user. The results show that the signal generated by an AP will cover the entire area that is still on the LOS propagation path. The coverage area generated through AP placement in this case study reached 77.5%. The maximum distance between the AP and the user so that it is within the coverage area is 13.851m. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP.

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.

scholarly journals A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2392
Author(s):  
Óscar Belmonte-Fernández ◽  
Emilio Sansano-Sansano ◽  
Antonio Caballer-Miedes ◽  
Raúl Montoliu ◽  
Rubén García-Vidal ◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Indoor Localization ◽  
Hidden Markov ◽  
Signal Strength ◽  
Access Point ◽  
Received Signal Strength ◽  
Machine Learning Algorithms ◽  
Forward Algorithm ◽  
Generative Method

Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov model. Unlike other algorithms, the use of a hidden Markov model allows ours to take advantage of the temporal autocorrelation present in the Wi-Fi signal. The algorithm estimates the user’s location based on the hidden Markov model, which models the signal and the forward algorithm to determine the likelihood of a given time series of Received Signal Strength Indicators. The proposed method was compared with four other well-known Machine Learning algorithms through extensive experimentation with data collected in real scenarios. The proposed method obtained competitive results in most scenarios tested and was the best method in 17 of 60 experiments performed.

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
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