scholarly journals Analisis Performa Bluetooth pada Sistem Alarm Pengingat Barang yang Tertinggal dengan Smartphone Android

2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Rafiqmia Khairuddin Nur Hammam ◽  
Hidayat Nur Isnianto ◽  
Sri Lestari ◽  
Y. Wahyo Setiyono
Keyword(s):  
Packet Loss ◽  
Signal Strength ◽  
Smartphone Application ◽  
Received Signal Strength ◽  
Line Of Sight ◽  
Test Results ◽  
Received Signal Strength Indicator ◽  
Measured Distance ◽  
Receiver Module ◽  
Point To Point

Someone sometimes forgets to put their belongings so that they leave them somewhere, it will pose a risk of losing their belongings. To solve this problem, a reminder is needed so that it is expected to minimize the risk of loss. This device implements point-to-point communication from the Bluetooth Low Energy AT-09 transmitter module with Arduino Nano and the receiver module with an Android smartphone. This reminder device will activate an alarm on the Android smartphone application when the two modules are more than 5 meters away. The measured distance is converted from the Received Signal Strength Indicator (RSSI) value received by the smartphone which is affected by obstructions, packet loss, and delay. Based on the test results, at a distance of 5 meters, the system can be connected and work properly, in unobstructed conditions (Line of Sight) or obstructed conditions (Non-Line of Sight). In the blocked condition, it has a packet loss of 1.1% to 4.4%, the received signal strength (RSSI) has decreased the value to a difference of -8 dBm, and the delay time is 2 seconds.

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

scholarly journals Studi Performansi Jarak Jangkauan Lora-Dragino Sebagai Infrastruktur Konektifitas Nirkabel Pada WP-LAN

2019 ◽  
Vol 15 (1) ◽  
pp. 47 ◽  
Author(s):  
Eko Murdyantoro ◽  
Imron Rosyadi ◽  
Hilmi Septian
Keyword(s):  
Internet Of Things ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Line Of Sight ◽  
Received Signal Strength Indicator

Dalam sistem Internet of things (IoT), berbagai macam obyek fisik disekitar manusia akan disensor dan direpresentasikan menjadi data digital untuk mendukung produktifitas manusia. Sensor dan aktuator sebagai <em>node</em> akan terhubung satu sama lain untuk diproses oleh sistem cerdas. Ada beberapa pilihan teknologi bagi pengembang sistem IoT untuk mengimplementasikan konektivitas antar <em>node</em> tersebut. Teknologi konektivitas nirkabel tersebut antara lain dengan modul GSM, wifi, bluetooth LE, Zigbee, NB-IoT, Sigfox dan LoRa yang menjadi topik studi ini. Teknologi LoRa dikembangkan terutama diproyeksikan sebagai infrastruktur konektifitas nirkabel pada sistem IoT. Beberapa potensi kelebihan fitur LoRa yang diklaim LoRa Alliance antara lain berdaya rendah; dapat mendukung konektifitas IoT skala luas sampai ribuan <em>node</em> dalam satu sel; dan termasuk dalam kategori jangkauan radio jarak jauh. Studi ini bertujuan untuk menguji performansi jarak jangkauan radio dari modul LoRa OLG01 pada sistem IoT yang dikembangkan pada frekuensi ISM 915MHz di atmosfer Indonesia. Dalam studi ini konfigurasikan <em>node</em> yang terhubung ke <em>gateway</em> agar dapat terhubung ke internet menjadi sistem IoT dengan set SF=7 dan BW= 125 kHz. Pembahasan dibatasi pada pengujian performansi jarak jangkauan dengan parameter RSSI (Received Signal Strength Indicator) dan jarak saat LOS (<em>line of sight</em>) dan non LOS (ada halangan). Jangkauan LoRa saat ini yang berhasil diukur sekitar radius 400m. Jarak jangkauan ini masih belum sesuai dengan spesifikasi yang diharapkan yaitu sampai radius 5 km, sehingga masih perlu dicari solusi dan konfigurasi yang lebih optimal

RADIO PROPAGATION CHARACTERISTICS OF INDOOR LOCATION SYSTEM BASED ON RSSI AT 490 MHz

2014 ◽  
Vol 23 (07) ◽  
pp. 1450094 ◽  
Author(s):  
WEIHONG FAN ◽  
MAJID AHMADI ◽  
FENG XUE
Keyword(s):  
Indoor Environment ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Propagation Characteristic ◽  
Radio Propagation ◽  
Test Results ◽  
Received Signal Strength Indicator ◽  
Indoor Location ◽  
Localization And Tracking

Localization and tracking technology based on received signal strength indicator (RSSI) is one of the most popular topics because of its low demand on hardware and cost. But the complexity of the indoor environment, leads to the uncertainty of the radio propagation which can seriously affect the positioning accuracy based on the received signal strength. Focused on the wall reflection in the indoor environment, the radio propagation characteristic based on ray-tracing model is analyzed and one strategy for the near wall localization is presented. The actual hardware platform and experimental test results show the applicability of the empirical logarithmic path loss model for localization and the effect of the wall reflection.

scholarly journals Estimation of the number of people in an indoor environment based onWiFi received signal strength indicator

2021 ◽  
Vol 10 (3) ◽  
pp. 1475-1483
Author(s):  
Hakam Marwan Zaidan ◽  
Emad Ahmed Mohammed ◽  
Dheyaa Hussein Alhelal
Keyword(s):  
Indoor Environment ◽  
Polynomial Regression ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Line Of Sight ◽  
Concrete Wall ◽  
Received Signal Strength Indicator ◽  
The People ◽  
Two Stages ◽  
Non Line Of Sight

WiFi access points are widely spread everywhere in all our daily life routines. Using these devices to provide services other than the Internet is becoming familiar nowadays.This paper conducts an experimental study to estimate the number of people in an indoor environment through two system setups, line of sight, and non-line of sight. Relationship modeling between WiFi received signal and the number of people uses polynomial regression. The experiment comprised of two stages: first is the data collection from a controlled number of people. Then, the collected data used to train the system through polynomial regression. The second is testing the system’s effectiveness by applying it to an uncontrolled environment. Testing results revealed efficiency in using WiFi received signal strength to do the people counting (up to 60) because of the accuracy achievements of 93.17% in the line of sight system. The non-line of sight system disclosed randomness in the received signal strength indicator regardless of the change in the number of people. The  randomness is mainly caused by the fading effect of the concrete wall. Therefore it is inefficient to use the non-line of sight system in concrete buildings.

An Improved RSSI Location Algorithm Suitable for Digital Workshop

2014 ◽  
Vol 945-949 ◽  
pp. 3444-3449
Author(s):  
Yun Feng Leng ◽  
Hai Ping Zhu ◽  
Fei He
Keyword(s):  
Signal Strength ◽  
Received Signal Strength ◽  
Test Results ◽  
Received Signal Strength Indicator ◽  
Positioning Accuracy ◽  
Automatic Guided Vehicles ◽  
Location Algorithm ◽  
Application Requirements

Relying on the background of constructing digital workshop, an improved RSSI (Received Signal Strength Indicator) location algorithm is introduced in this paper. At first, the application requirements of RSSI location algorithm are discussed from cargo tracking, instrument management and automatic guided vehicles three aspects; and then focuses on the improvements of the new RSSI location algorithm. The test results and analysis show that the positioning accuracy up to 0.89 meter by applying the new algorithm, and it can meet positioning requirements of digital workshop.

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