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

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)

2019 ◽  
Vol 6 (2) ◽  
pp. 60
Author(s):  
Putu Dhiko Pradnyana ◽  
D.M. Wiharta ◽  
N.P. Sastra

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.


2021 ◽  
Vol 1 (2) ◽  
pp. 61-69
Author(s):  
Achmad Riyadus Sholikhin ◽  
Taufiq Timur Warisaji ◽  
Triawan Adi Cahyanto

One very rapid change in computer networks is the use of Wireless Local Area Network (WLAN) to access systems both locally and the internet. One way to add an Access Point (AP) so as not to change the configuration of the running software is use the Wireless Distribution System Mesh (WDS) network. The use of WDS mesh at Universitas Muhammmadiyah Jember (UM Jember) enables a slightly different wireless configuration to reduce the connection loss in the user due to the wireless network area coverage. One step is use AP devices into one unit to handle the case of a connection break by utilizing a network service that is WDS Mesh. WDS Mesh can cover Wi-Fi areas at UM Jember, and the results of testing and analysis of client devices for APs that have been configured WDS Mesh with parameters Signal Strength, CCQ, Signal to Noise Ratio Ratio, Throughput is Excellent.


Author(s):  
Ida Bagus Kade Taruna ◽  
I Made Agus Dwi Suarjaya ◽  
I Putu Agus Eka Pratama

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


2018 ◽  
Vol 1 (1) ◽  
pp. 38
Author(s):  
Mohammad Taufan Asri Zaen ◽  
Falah Husni

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.


2016 ◽  
Vol 2 (2) ◽  
pp. 82-93
Author(s):  
Eki Ahmad Zaki Hamidi ◽  
Nanang Ismail ◽  
Ramadhan Syahyadin

Universitas Islam Negeri Sunan Gunung Djati Bandung merupakan salah satu instansi pendidikan yang memanfaatkan wireless LAN sebagai media pembelajaran dan informasi, namun banyaknya penggunaan frekuensi dan channel pada wireless LAN dapat menyebabkan overlap hingga terjadi interferensi sinyal. Agar mendapatkan coverage jaringan yang baik pada perangkat outdoor wireless LAN, diperlukan suatu perencanaan dalam penempatan posisi antena dan perhitungan Link Budget yang terdiri dari free space loss, effective isotropically radiated power, received signal level dan system operating margin. Selain itu perhitungan dilakukan secara simulasi dengan menggunakan software Radio Mobile untuk melihat hasil coverage area secara visual. Pengukuran jaringan yang dilakukan terdiri dari 1 antena Server dan 3 access point yang ditempatkan pada posisi yang telah ditentukan berdasarkan kondisi eksisting. Hasil rancangan jaringan yang dianalisis menggunakan perhitungan Link Budget secara teori maupun simulasi  dengan nilai parameter System Operating Margin (SOM) terbesar pada server sebesar 47,26 dB, sedangkan pada access point#1 46,26 dB, access point#2 45,76 dB dan access point#3 39,5 dB dimana telah memenuhi batas perancangan sinyal yang baik.


2016 ◽  
Vol 2 (2) ◽  
pp. 82-93
Author(s):  
Eki Ahmad Zaki Hamidi ◽  
Nanang Ismail ◽  
Ramadhan Syahyadin

Universitas Islam Negeri Sunan Gunung Djati Bandung merupakan salah satu instansi pendidikan yang memanfaatkan wireless LAN sebagai media pembelajaran dan informasi, namun banyaknya penggunaan frekuensi dan channel pada wireless LAN dapat menyebabkan overlap hingga terjadi interferensi sinyal. Agar mendapatkan coverage jaringan yang baik pada perangkat outdoor wireless LAN, diperlukan suatu perencanaan dalam penempatan posisi antena dan perhitungan Link Budget yang terdiri dari free space loss, effective isotropically radiated power, received signal level dan system operating margin. Selain itu perhitungan dilakukan secara simulasi dengan menggunakan software Radio Mobile untuk melihat hasil coverage area secara visual. Pengukuran jaringan yang dilakukan terdiri dari 1 antena Server dan 3 access point yang ditempatkan pada posisi yang telah ditentukan berdasarkan kondisi eksisting. Hasil rancangan jaringan yang dianalisis menggunakan perhitungan Link Budget secara teori maupun simulasi  dengan nilai parameter System Operating Margin (SOM) terbesar pada server sebesar 47,26 dB, sedangkan pada access point#1 46,26 dB, access point#2 45,76 dB dan access point#3 39,5 dB dimana telah memenuhi batas perancangan sinyal yang baik.


2017 ◽  
Vol 16 (5) ◽  
pp. 6920-6925
Author(s):  
Rohmat Tulloh ◽  
Hasanah Putri ◽  
Dwi Andi Nurmantris ◽  
Desi Dwi Prihatin

At present, the need for internet access in public area using wireless connections is increasing drastically and this should be supported by good network infrastructure. Wireless network is one of the best alternative in building a practical internet network. WDS is a system to develop wireless internet network without having to use cable as its backbone for access point but instead utilize wireless path from its access point. The problems that often arise in the design of wireless LAN network is the poor signal received by the user due to the installation of an access point that is poor location-wise. This is because at some point it is very difficult to install Access point using cable because the distance is too far from the existing router. In this paper, we propose to use three scenario of WDS mode to compare its performance. We investigate three different topology policy models of the WDS Bridge point-to-point, WDS Bridge point to multipoint and WDS repeater. The use of these three topologies aims to reach locations that are not covered by wireless LAN network, in addition this method can save the use of network resources such as LAN cables. Based on the simulation results, it is found that the topology point to point gives better value but it generated higher delays. The delay generated on point to point is higher than other topologies. Meanwhile, the measurement results are not much different on topology point to multipoint with repeater topology. The point to multipoint topology is slightly better than the repeater of the three QoS parameters.


2015 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Nila Feby Puspitasari ◽  
Reza Pulungan

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.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2392
Author(s):  
Óscar Belmonte-Fernández ◽  
Emilio Sansano-Sansano ◽  
Antonio Caballer-Miedes ◽  
Raúl Montoliu ◽  
Rubén García-Vidal ◽  
...  

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.


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