scholarly journals QoS of Wi-Fi performance based on signal strength and channel for indoor campus network

2020 ◽  
Vol 9 (5) ◽  
pp. 2097-2108 ◽  
Author(s):  
Adiba Abd Ghafar ◽  
Murizah Kassim ◽  
Norsuzila Ya’acob ◽  
Roslina Mohamad ◽  
Ruhani Ab Rahman

The implementation of Wi-Fi on campuses brings huge benefits for campus users in communications and education development. Some campuses face existing poor Quality of Service (QoS) on the Wi-Fi performance which is also unjustified and issues on unsatisfied connections. This research aims to analyses the Wi-Fi performance of the campus network for three indoor access points. Signal strength, usage percentage, channel utilization, and the number of clients count per access points are measured. Results show that 56% is the highest signal percentage and the lowest signal percentage is at 1%. Access point of Ustudent is the highest at 53% and lowest at 38%. The highest signal strength of -45dBm is found and the other two are below by -2 dBm. The lowest signal strength is at -95 dBm. SSID CCNA_1 is identified has the best signal strength compared to other SSIDs because it runs on 5 GHz frequency. The most channels used are channels 1, 4, and 6. Respectively 151, 67, and 57 users are connected to Ustudent, UHotspot, and CCNA_1. This study is significant for the QoS in a campus network in providing good network services. Thus, the QoS on Wi-Fi performance is improvised, monitored and analyzed for continues supports users in the campus network successfully 

Author(s):  
Marion Olubunmi Adebiyi ◽  
Egbe Egbe Adeka ◽  
Florence A. Oladeji ◽  
Roseline Oluwaseun Ogundokun ◽  
Micheal Olaolu Arowolo ◽  
...  

<span>Wireless networks came into the computing world replacing the costlier and more complex wired method of connecting numerous equipment in the same or different location via the use of cables. It provides the user devices a connection to one another and the greater internet via connections to access points. Generally, 802.11 access point products follow a default strongest signal first approach in selecting user devices or nodes to connect to the access point or overlapping access points. This standard does not make provisions for even distribution of load and hence the quality of service and the throughput in areas of congestion would be reduced. This article brings forward two algorithms used in load balancing and they include round-robin technique and the weighted round-robin technique to be used in the simulation of the distribution of the load amongst the access points with the results collated and compared to clearly show which algorithm is best suited to be used as a standard for access point load distribution.</span>


2019 ◽  
Vol 20 (2) ◽  
pp. 95-108
Author(s):  
Aan Restu Mukti ◽  
Maria Ulfa ◽  
Febriyanti Panjaitan

The Palembang City Health Service has implemented the Wireless network as one of the services to connect to the internet, to expand the signal coverage in the City Government Service network, has been implemented wirelessly with a Wireless Distribution System (WDS) system that allows wireless interconnection in access points in the IEEE 802.11 network. This allows wireless networks to be developed using multiple APs (Access points) without having to require a network cable backbone to connect between networks. Users connected to the Hotspot at Palembang City Health Office are increasing year by year. This is seen from the number of access usage needs each year. The analysis that will be carried out on Palembang's health service wireless LAN network uses several parameters, namely Bandwidth, Throughput, Delay, and Packet Loss, where these parameters are used to see the quality of network services (QOS), so that the results of this research will be expected to provide solutions for the service the health of the city of Palembang in evaluating the quality of the network, especially wireless LAN so that it can overcome any problems that occur. Research methods using Action Research or action research is one form of research design, in action research researchers describe, interpret and explain a social situation at the same time by making changes or interventions with the aim of improvement or participation. The results of the QOS parameters are delay according to the TIPHON version, that a very good delay occurs at the Health Service from point 2, that is location 2 to location 3, with a delay of under 150 milli second (ms).


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1828
Author(s):  
Marcin Luckner ◽  
Rafał Górak

This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an estimator of RSS using the readings from other APs. Using an optimal threshold, the algorithm recognises an AP that has changed its characteristics. Next, the system rebuilds the localisation model excluding the changed AP to keep QoS. For the tests, we simulated a change in the analysed Wi-Fi network by replacing the measured RSS by an RSS obtained from the same AP model that lies in another place inside the same multi-floor building. The algorithm was evaluated in simulations of an isolated single-floor building, a single-floor building and a multi-floor building. The mean increase of the localisation error obtained by the system varies from 0.25 to 0.61 m after the RSS changes, whereas the error increase without using the system is between 1.21 and 1.98 m. The system can be applied to any service based on a Wi-Fi network for various kinds of changes like a reconfiguration of the network, a local malfunction or ageing of the infrastructure.


2020 ◽  
Vol 12 (12) ◽  
pp. 1995
Author(s):  
David Sánchez-Rodríguez ◽  
Miguel A. Quintana-Suárez ◽  
Itziar Alonso-González ◽  
Carlos Ley-Bosch ◽  
Javier J. Sánchez-Medina

In recent years, indoor localization systems based on fingerprinting have had significant advances yielding high accuracies. Those approaches often use information about channel communication, such as channel state information (CSI) and received signal strength (RSS). Nevertheless, these features have always been employed separately. Although CSI provides more fine-grained physical layer information than RSS, in this manuscript, a methodology for indoor localization fusing both features from a single access point is proposed to provide a better accuracy. In addition, CSI amplitude information is processed to remove high variability information that can negatively influence location estimation. The methodology was implemented and validated in two scenarios using a single access point located in two different positions and configured in 2.4 and 5 GHz frequency bands. The experiments show that the methodology yields an average error distance of about 0.1 m using the 5 GHz band and a single access point.


Author(s):  
Westi Yulia Pusvita ◽  
Yasdinul Huda

This research originated from the quality of the wifi.id internet network in the area of Air Tawar which is varied and more suitable for locations that are farther away than the access points. This study aims to find the quality of the wifi.id internet network in the Air Tawar area, and to obtain the results of delay, packet loss, and throughput generated in measuring the quality of the wifi.id network and compare it with the TIPHON standard. This research is a descriptive research. The population of this study is the wifi.id access point in the Air Tawar  area with a research sample of three wifi.id access point locations on Air Tawar. This research was conducted by measuring the quality of wifi.id using the axence nettols 5 application for 10 days in the morning, afternoon and evening. From  the results of the research after analysis obtained: (1) The best delay measurement is on Jl. Gajah TP 1 with a value of 8.5 ms and the worst on Jl. Parkit TP 4 with a value of 64.8 ms. (2) The best packet loss measurement is on Jl. Gajah TP 1 with a value of 0.1% and the worst on Jl. Parkit TP 4 with a value of 25.2%. (3) The best throughput measurements can be found at Jl. Gajah TP 1 with a value of 93.04% and the worst on Jl. Parkit TP 4 with a value of 45.21%. Keywords: Delay, Packet loss, Throughput, TIPHON, Axence Nettols 5


2019 ◽  
Vol 5 (1) ◽  
pp. 10
Author(s):  
Ganang Eko Noviardianto ◽  
Muhammad Novel ◽  
Mercurius Broto Legowo

<p><em>Abstrak</em><strong> </strong>– <strong>Tujuan dari penelitian ini adalah untuk menempatkan titik akses pada jaringan Wi-Fi</strong><strong>. </strong><strong>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</strong><strong> (<em>access point</em></strong><strong>). 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</strong><strong> </strong><strong><em>Simulated</em></strong><strong><em> </em></strong><strong><em>Annealing</em></strong><strong> 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 </strong><strong>setelah dilakukan optimisasi menggunakan </strong><strong>m</strong><strong>etode</strong><strong> </strong><strong><em>Simulated</em></strong><strong><em> </em></strong><strong><em>Annealing</em></strong><strong><em> </em></strong><strong>prosentase <em>koverage area</em> sebesar 98.66 % dan, diperoleh</strong> <strong>kenaikan persentase <em>koverage area</em> sebesar 87.15%.</strong><strong> Dengan demikian, penelitian ini akan memberikan kontribusi untuk memodelkan penempatan </strong><strong>posis </strong><strong>titik akses</strong><strong> </strong><strong>dan kekuatan sinyal </strong><strong>pada jaringan Wi-Fi </strong><strong>yang diperoleh di Unit 2 dan Unit 6 Kampus Institut Perbanas</strong></p><p><em>Abstract</em> – <strong>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. </strong><strong>The Simulated Annealing method applied in this study, with reasons for generic optimization. </strong><strong>Based on probability and statistical mechanics, this algorithm can be used to find an approach to the optimum solution to a problem. </strong><strong>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%.</strong> <strong>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.</strong></p><p><strong><em>Keywords</em></strong> -  <em>Koverage Area</em><em>, </em><em>RSSI</em><em>, </em><em>Simulated Annealing</em><em>, </em><em>Propaga</em><em>tion, </em><em>Wi-F</em><em>i</em><strong><em></em></strong></p>


2018 ◽  
Vol 10 (3) ◽  
pp. 27-42
Author(s):  
Yimin Liu ◽  
Wenyan Liu ◽  
Xiangyang Luo

This article describes how indoor localization of Wi-Fi AP (access point) plays an important role in the discovery of illegal indoor Wi-Fi and for the safety inspection of confidential places. There have been many related research results in recent years. In this article, a review is presented on the indoor localization technique of Wi-Fi AP. First, indoor localization methods of Wi-Fi AP can be divided into three categories: localization based on signal strength; fingerprint feature; and distance measurement. Then, the basic principles of the three methods are described respectively, and an evaluation of the typical methods are provided. Finally, the authors point out some research tendency of the indoor localization techniques of Wi-Fi AP.


2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986613 ◽  
Author(s):  
Dong Myung Lee ◽  
Boney Labinghisa

In indoor positioning techniques, Wi-Fi is one of the most used technology because of its availability and cost-effectiveness. Access points are usually the main source of Wi-Fi signals in an indoor environment. If access points are optimized to cover the indoor area, this could improve Wi-Fi signal distribution. This article proposed an alternative to optimizing access point placement and distribution by introducing virtual access points that can be virtually placed in any part of the indoor environment without installation of actual access points. Virtual access points will be created heuristically by correlating received signal strength indicator of already existing access points and through linear regression. After introducing virtual access points in the indoor environment, next will be the addition of filters to improve signal fluctuation and reduce noise interference. Kalman filter has been previously used together with virtual access point and showed improvement by decreasing error distance of Wi-Fi fingerprinting results. This article also aims to include particle filter in the system to further improve localization and test its effectiveness when paired with Kalman filter. The performance testing of the algorithm in different indoor environments resulted in 3.18 and 3.59 m error distances. An improvement was added on the system by using relative distances instead of received signal strength indicator values in distance estimation and gave an error distance average of 1.85 m.


2020 ◽  
Vol 10 (1) ◽  
pp. 117-123
Author(s):  
Bhulakshmi Bonthu ◽  
M Subaji

AbstractIndoor tracking has evolved with various methods. The most popular method is using signal strength measuring techniques like triangulation, trilateration and fingerprinting, etc. Generally, these methods use the internal sensors of the smartphone. All these techniques require an adequate number of access point signals. The estimated positioning accuracy depends on the number of signals received at any point and precision of its signal (Wi-Fi radio waves) strength. In a practical environment, the received signal strength indicator (RSSI) of the access point is hindered by obstacles or blocks in the direct path or Line of sight. Such access points become an anomaly in the calculation of position. By detecting the anomaly access points and neglecting it during the computation of an indoor position will improve the accuracy of the positioning system. The proposed method, Practical Hindrance Avoidance in an Indoor Positioning System (PHA-IPS), eliminate the anomaly nodes while estimating the position, so then enhances the accuracy.


Author(s):  
Ahmad Abadleh

This paper presents an approach to automatically detect the position of the Wi-Fi access points. It uses Wi-Fi received signal strength as well as some characteristics of the buildings such as the height of the building and the movement direction of the user to detect the position of the access points. This approach comprised of two phases: in phase one, a dynamic threshold is computed for each detected access point using the highest received signal strength. Then the threshold is used to detect a small area surrounding the access point. In phase two, it detects the position of the access point by monitoring the angle between the user and the access point, if the angle is in a certain range, then the position of the access point is detected. The experiments results show a high accuracy achieved by the proposed approach. Moreover, the results show that the proposed approach is promising.


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