scholarly journals Trilateration Method For Estimating Location in RSSI-Based Indoor Positioning System Using Zigbee Protocol

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Herryawan Pujiharsono ◽  
Duwi Utami ◽  
Rafina Destiarti Ainul
Keyword(s):  
Path Loss ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Positioning System ◽  
Observation Area ◽  
Current Location ◽  
Zigbee Protocol ◽  
The Mean ◽  
Unknown Node ◽  
Indoor Positioning System

Wireless network technology that is used today is developing rapidly because of the increasing need for location information of an object with high accuracy. Global Positioning System (GPS) is a technology to estimate the current location. Unfortunately, GPS has a disadvantage of low accuracy of 10 meters when used indoors. Therefore, it began to be developed with the concept of an indoor positioning system. This is a technology used to estimate the location of objects in a building by utilizing WSN (Wireless Sensor Network). The purpose of this study is to estimate the location of the unknown nodes in the lecturer room as an object and obtain the accuracy of the system being tested. The positioning process is based on the received signal strength (RSSI) on the unknown node using the ZigBee module. The trilateration method is used to estimate unknown node located at the observation area based on the signal strength received at the time of testing. The result shows that the path loss coefficient value at the observation area is 0.9836 and the Mean Square Error of the test is 1.251 meters, which indicates that the system can be a solution to the indoor GPS problem.

scholarly journals A Hidden Markov Model to Estimate the Time Dairy Cows Spend in Feeder Based on Indoor Positioning Data

2018 ◽  
Author(s):  
Matti Pastell ◽  
Frondelius Lilli
Keyword(s):  
Dairy Cows ◽  
State Transition ◽  
Viterbi Algorithm ◽  
Transition Probabilities ◽  
Wide Band ◽  
Indoor Positioning ◽  
Feeding Time ◽  
Positioning System ◽  
The Mean ◽  
Indoor Positioning System

The feeding time of dairy cows is linked with the health status of the animal and can be used to estimate daily feed intake together with other measurements. The aim of this study was to develop a model to measure the time a dairy cow spends at a feed bunk using an Ultra wide-band indoor positioning system.We measured the feeding behavior of 50 dairy cows during 7 days using Ubisense indoor positioning system and Insentec roughage feeders. We calculated the feeding (presence at the feeder) probability of the cow using logistic regression model with the distance to feed barrier as input and used the Viterbi algorithm to calculate the most likely state (feeding or not feeding) given state transition probabilities. The model was able to predict whether the cow was at the feeding trough or not with the accuracy of 97.6%, sensitivity 95.3% and specificity 97.9%. The model was also able to estimate the mean bout duration and the number of feeding bouts.

scholarly journals PENGARUH BENTUK GEOMETRI PEMASANGAN LAMPU LED TERHADAP AKURASI INDOOR PSITIONING LI-FI MENGGUNAKAN TEKNIK RECEIVE SIGNAL STRENGTH (RSS)

2021 ◽  
Vol 5 (2) ◽  
pp. 54
Author(s):  
Jaka Satria Prayuda ◽  
Denny Darlis ◽  
Akhmad Hambali
Keyword(s):  
Global Positioning System ◽  
Light Emitting Diode ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Receive Signal Strength ◽  
Positioning System ◽  
Light Emitting ◽  
Global Positioning ◽  
Indoor Positioning System

Informasi untuk mengetahui lokasi benda atau seseorang merupakan salah satu hal yang penting dalam kehidupan sehari-hari. Selama ini, teknologi Global Positioning System (GPS) dapat diandalkan ketika berada di luar ruangan. Namun, ketika di dalam ruangan, GPS akan sulit menjangkau secara spesifik area bangunan. Dengan memanfaatkan teknologi Light Fidelity (Li-Fi), Indoor Positioning System (IPS) akan lebih mudah dilakukan dan mempunyai keunggulan dari segi akurasi dan efisiensi energi. Tetapi, jika dikaitkan dengan IPS, pemasangan lampu Light Emitting Diode (LED) perlu diperhatikan geometri pemasangannya. Penelitian ini membahas akurasi IPS pada Li-Fi apabila dengan berbagai bentuk geometri dan lokasi pemasangan lampu LED yang berbeda-beda. Teknik positioning Received Signal Strength (RSS) digunakan dengan mengambil kuat daya terima sebagai estimasi suatu jarak. Dengan membandingkan masing-masing bentuk geometri, maka didapatkan data konfigurasi terbaik untuk implementasi IPS. Hasil penelitian menunjukkan bahwa perbedaan jumlah lampu LED dan bentuk geometri akan berpengaruh terhadap akurasi positioning. Hasil menunjukkan bahwa geometri segi enam memiliki rata-rata error yang lebih kecil dibandingkan geometri yang lain, yakni sebesar 1,53×10?05m. Semakin banyak lampu LED atau poin referensi dengan rentang jarak lampu yang lebih rapat, maka dapat menghasilkan positioning yang lebih baik. Kata Kunci: Light Fidelity (Li-Fi), Indoor Positioning System (IPS), Received Signal Strength (RSS), Geometri.

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