Estimation of Mobile Point Distance based on the Signal Strength of Wireless Network Routers

2020 ◽  
Vol 18 (01) ◽  
pp. 120-129
Author(s):  
Rodrigo de Lima Cunha ◽  
Giovani Bernardes Vitor ◽  
Arthur de Miranda Neto
Keyword(s):  
Wireless Network ◽  
Signal Strength ◽  
Network Routers ◽  
Point Distance

scholarly journals Study on the Signal Transmission Characteristics of 2.4GHz Wireless Network in Dorms

2016 ◽  
Vol 12 (10) ◽  
pp. 58 ◽  
Author(s):  
Guoqiang Hu
Keyword(s):  
Radio Frequency ◽  
Wireless Network ◽  
Signal Transmission ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Relational Model ◽  
Transmission Characteristics ◽  
Cubic Polynomial ◽  
Communication Distance

<p><span style="font-size: small;"><span style="font-family: Times New Roman;">In accordance with the deployment requirements of WLAN node in college student dorms and its features of application environment, this paper studies the relevance among factors like radio-frequency signal transmission characteristics, communication distance, AP height and transmission path, etc., with a case study of AP radio frequency 2.4GHz. Experiments show that the attenuation of wireless network signal in student dorms conforms to Keenan-Motley model. When AP is fixed, the signal strength received by laptop generally reduces with the increase of communication distance, yet just opposite with packet loss rate. When deploying AP, 1.25-1.75 height is ideal, and one-side coverage of 3 dorm rooms optimal. Based on the above researches, a relational model of AP height, communication distance and received signal strength is established. In it, model parameter  and AP height display a cubic polynomial relationship, and attenuation coefficient  and AP height show a quadratic polynomial relationship. Experiment results demonstrate that this model can satisfactorily predict the received signal strength of different AP heights and communication distances, providing technical support for wireless network deployment in student dorms. </span></span></p>

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 The Optimal Receiving Signal Strength to Use the Relay Node in Wireless Network

2018 ◽  
Author(s):  
Tae-Hoon Kim ◽  
Melissa Fitzgerald ◽  
Mithulesh Kurale
Keyword(s):  
Wireless Network ◽  
Relay Node ◽  
Signal Strength

scholarly journals FUZZY APPROACH TO DEVICE LOCALIZATION BASED ON WIRELESS NETWORK SIGNAL STRENGTH

2021 ◽  
Vol 11 (2) ◽  
pp. 14-21
Author(s):  
Michał Socha ◽  
Wojciech Górka ◽  
Marcin Michalak
Keyword(s):  
Wireless Network ◽  
Signal Strength ◽  
New Method ◽  
Fuzzy Approach ◽  
Location Detection ◽  
The Difference ◽  
Original Approach ◽  
Device Location

The paper presents an original approach to device location detection in a building. The new method is based on a map of individual interiors, drawn up based on the measurements of the strength of wireless network signals for each building venue. The device is initially assigned to all venues whose descriptions sufficiently correspond with the current measurements taken by the device. A fuzzy assignment level for each of the potentially considered venues depends on the difference between the averaged network strengths for the venue and the signal strengths currently measured with the device for localization purposes. Ultimately, the device is assigned to the venue with the highest level of assignment.

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 CONCEPTUAL FRAMEWORK FOR EFFICIENT 802.11 A/B/G/N WIRELESS NETWORKS INFRASTRUCTURE TO IMPROVE CAMPUS INTERNET CONNECTIVITY

2020 ◽  
Vol 7 (11) ◽  
pp. 1-8
Author(s):  
Debrah Joshua Osei ◽  
Isaac Kofi Nti ◽  
Adebayo Felix Adekoya ◽  
Benjamin A. Weyori ◽  
Stephen Appiah
Keyword(s):  
Conceptual Framework ◽  
Wireless Network ◽  
Signal Strength ◽  
Technological Advancement ◽  
Internet Service ◽  
University Campuses ◽  
Internet Resources ◽  
Wireless Signal ◽  
The University

Provision of internet service on university campuses has become essential and critical drivers to the progress and success of contemporary universities. Despite this intriguing technological advancement, universities are finding it challenging to provide the required quality of internet services to meet the high expectation of users on campus. Proper infrastructure, inadequate bandwidth, and effectiveness of internet service delivery achieve an optimal balance between available internet resources and the demands placed on internet resources. This paper set out to find out the state of internet infrastructures in the selected universities in Sunyani metropolis in Ghana. This paper conducted three significant investigations. A survey on user perception was conducted to ascertain the quality of user experience. A physical examination was also conducted. A wireless network analytical tool was deployed to examine the quality of 802.11 a/b/g/n wireless signal on the campuses of the selected university campuses.  The results of the three investigations revealed a poor wireless network at the university campuses. The paper proposed a conceptual framework to improve the network infrastructure on university campuses. Motivation/Background: This study was motivated by the number of studies in literature concerning the access, usage, and quality of internet service in Africa. The study was designed to examine the quality internet service and the quality of experience (QoE) of internet user in three universities in the Sunyani metropolis in relation to access, availability and quality of internet. Method: An in SSIDer wireless signal analytics tool was used to examine the quality of signal strength on the selected University campuses. The tool has the ability to measure certain essential indicators used to determine the quality of signal strength, bandwidth, frequency and can report whether the signal is secure or insecure. The test was carried at several locations on the campuses at different times. The result of the test and simulation by the in SSIDer tool, the signal strength at the campuses indicated a weaker signal in all three campuses. Results: The results obtained from the test conducted at the three University campuses revealed that the wireless signals propagated at the university campuses were very poor. Conclusions: A conceptual framework has been designed to help reduce the signal attenuations significantly.

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