The Comparison of Access Point Signal Gain with Beverage Cans

2015 ◽  
Vol 4 (3) ◽  
pp. 124
Author(s):  
Ni Wayan Sri Ariyani
Keyword(s):  
Wireless Communication ◽  
Computer Network ◽  
Signal Strength ◽  
Access Point ◽  
Network Development ◽  
Signal Amplifier ◽  
Wireless Signal ◽  
Communication Distance ◽  
Technology And Communication ◽  
Wired Communication

Computer network development depends on the development of information technology and communication. Several things as the reasons to develop the technology of computer network are implementing communication flexibly which in this case in the theory of computer network is to build wireless network communication. The existence of wireless communication as the comparison against wired network, having different impairment compared to wired communication. One of which is the weakening of wireless signal strength towards the ongoing communication distance. Therefore in wireless communication currently plenty of it being implemented, to handle the occurring impairment due to distance influence, it is needed for signal amplifier device. One of signal amplifier that can be used in the surroundings which is economical and practical is by using used beverage can.

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. 

Perancangan Infrastruktur Jaringan Komputer Untuk Mendukung Implementasi Sistem Informasi Pada Universitas Teknologi Sumbawa

2017 ◽  
Vol 16 (1) ◽  
pp. 44
Author(s):  
Shinta Esabella
Keyword(s):  
Information System ◽  
Computer Networks ◽  
Computer Network ◽  
Access Point ◽  
Network Development ◽  
Media Access ◽  
Executive Board ◽  
Network Infrastructure ◽  
Existing Building ◽  
Development Life Cycle

The purpose of this writing is to be able to recognize the performance of the design of computer networks of Universitas Teknologi Sumbawa which has been built in simulator OPNET Version 14.5, from which the design of a computer network consists of two designs specifically design of computer networks using Cable Media and Wireless Media (Access Point). The study begins by analyzing the current situation of the computer network and discovers the circumstance of utilization of computer networks had not been optimal as the condition of the computer network infrastructure of Universitas Teknologi Sumbawa rector is only found in the main building itself. The process ofanalysis and design of computer network infrastructure uses the Network Development Life Cycle (NDLC). The comparison outcome of the design with the Cable Media in the Simulator has Page Response Time 82,3% faster than using Wireless Media and delay point of Cable Media is 19,1% lower than Wireless Media. Therefore Cable Media is able to be considered as one of preferences by the Executive Board of Universitas Teknologi Sumbawa to develop Computer Network Infrastructure for integrating entire existing building within the campus area in order to support the implementation of the information system.

scholarly journals An Experimental Connectivity Performance of Simple Wireless Mesh Implementation Using Wireless Distribution System (WDS)

2017 ◽  
Vol 1 (02) ◽  
pp. 18-27
Author(s):  
Dicky Muhammad ◽  
Gita Indah Hapsari ◽  
Giva Andriana Mutiara
Keyword(s):  
Wireless Network ◽  
Distribution System ◽  
Wireless Mesh Network ◽  
Computer Network ◽  
Access Point ◽  
Mesh Network ◽  
Wireless Mesh ◽  
Signal Coverage ◽  
Wireless Signal ◽  
Test Result

Today wireless technology grows rapidly, especially in the field of telecommunications and communications. Computer networks now widely utilizes wireless. Wireless Mesh Network is one of the method which is use to communicate computer wirelessly. One important factor in application of wireless network is how to extend wireless signal coverage. Wireless Distribution System is one way to expand the wireless network by mean of wireless interconnection of access point on the network IEEE 8022.11. This study suggests how to build a simple wireless computer network using WDS technology and describes connectivity performance and its signal coverage. The test result of connectivity performance shows that the connectivity between two computers work properly for reliability and multi SSID testing. However, the connectivity was not success in multichannel testing. Furthermore the test result of coverage shows that the range of wireless signal coverage reaches 39 meters with different circumstance room.

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.

Designing a Computer Network in Building a Smart School with Case Study of SMA Negeri 1 Kediri

2020 ◽  
Vol 8 (2) ◽  
pp. 177
Author(s):  
Ni Putu Ega Meiliana Wijaya ◽  
I Komang Ari Mogi
Keyword(s):  
Educational Technology ◽  
Teaching And Learning ◽  
Computer Network ◽  
Integrated System ◽  
Network Development ◽  
Top Down ◽  
Star Topology ◽  
Use Of Technology ◽  
School Concept

Smart school is a technology-based school concept used in the teaching and learning process in the classroom. The use of educational technology includes an integrated system that assists the educational community in carrying out their respective functions with the aim of developing the potential of students. The use of technology in the field of education is expected to help and facilitate students and schools in conducting learning so that technology is able to facilitate and solve problems in learning. In building smart schools, it is also necessary to design technology developed in technology. The concept of network development that will be used is to use the Top-Down method and the topology used is to use ring topology and star topology. With the development of smart schools, it is expected that education using technology will continue to develop.

scholarly journals Rancang Bangun Sistem Komunikasi antar UAV untuk Formasi UAV

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rendra Dwi Firmansyah ◽  
Esa Apriaskar ◽  
Tika Erna Putri
Keyword(s):  
Computer Network ◽  
Initial Model ◽  
Star Topology ◽  
Communication Models ◽  
Optimal Distance ◽  
Communication Distance ◽  
The One ◽  
Exchange Data

UAV formation is one of techology development in UAV world. The UAV formation can be utilized in various fields including agriculture, mapping and defense security (HANKAM). Communication is one of the important components in making UAV formations. To make UAV formations, position and direction data (AHRS) from each UAV will be sent to other UAVs so that when forming UAV formation, no collisions occur between UAVs. This study uses a star topology like the one on a computer network. This method involves two or more UAVs, both of which will exchange data. In this study the data sent is in the form of a dummy data package using the xbee module. The purpose of this study is the initial model of communication between UAVs which can later be developed into more complex communication models for many UAVs. The results obtained in the form of maximum communication distance between UAVs is 50m and the recommended optimal distance is 10-20m.

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