Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based
Dublin Core
Title
Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based
Subject
Sensor Radar Microwave,
Arduino
Lora 1278
Lcd
Description
To assist soldiers in training agility and accuracy, a technology is needed for movement and targets, many factors need to be considered, such as field conditions, target movement and personnel movement towards the technology used, understanding of shooting theory and the physical and psychological conditions of the personnel themselves. To realize this application, the writer uses communication to move the gunshot wound to be tested using a long-range radio nRF24l01 which functions to send and receive data between the sensor and the gunshot wound, and Lora 1278 is used to transmit data obtained from the detection of microwave radar sensors processed by Arduino which is then sent to the receiver on a gunshot wound. Parameters consisting of throughput, delay, packet loss, RSSI, and SNR greatly affect the quality of data transmission, and from testing the best data quality can be obtained at a distance of 50 meters. Based on the test data for the distance of 80 m, 70 m, and 50 m, the greatest delay value was obtained at a distance of 80 m at 0.143 s, with packet loss of 0.75%.
Creator
Yulianto, I Putu Eka
adi, Puput Dani Prasetyo
Kuncoro, Eko
Source
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 1-11
2774-4353
Publisher
Association for Scientific Computing, Electronics, and Engineering (ASCEE)
Date
2021-01-13
Rights
Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Identifier
Citation
I Yulianto Putu Eka, Puput adi Dani Prasetyo and Eko Kuncoro, Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based, Association for Scientific Computing, Electronics, and Engineering (ASCEE), 2021, accessed November 5, 2024, https://igi.indrastra.com/items/show/771