Gerardine Immaculate Mary , CH S K N S Dixit , Bapatla Venkata Naresh , Anitha Julian
{"title":"Implementation of an Asset Tracking Embedded System using Ultra-Wide Band Technology","authors":"Gerardine Immaculate Mary , CH S K N S Dixit , Bapatla Venkata Naresh , Anitha Julian","doi":"10.1016/j.procs.2024.12.035","DOIUrl":null,"url":null,"abstract":"<div><div>In the most complex indoor environments, such as a warehouse, where there is a large volume of equipment and the possibility of losing it is inevitable, this study reveals an embedded system that uses Ultra-Wide Band (UWB) accuracy to deliver pinpoint asset tracking. It is crucial to keep an eye on them. constructing a Real-Time Locating System (RTLS), to use technical terminology. Even though they were effective, conventional navigation systems like GPS, Wi-Fi, and BLE have limitations due to interference and range. UWB effectively overcomes these constraints with its massive 7.5GHz bandwidth and lower interference (- 41.3dBm/1MHz). When it comes to interior navigation, UWB works better since it has a higher connection than Wi-Fi and GPS. Conversely, UWB has no propagation effects like as scattering or reflection and can simply flow through an obstruction. The goal is to create an embedded system that uses an Arduino UNO to gather data from a Deca Wave DW1000, which will serve as a tag and anchor for effective asset navigation utilizing the Time of Flight (ToF) localization method.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"252 ","pages":"Pages 331-340"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050924034677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the most complex indoor environments, such as a warehouse, where there is a large volume of equipment and the possibility of losing it is inevitable, this study reveals an embedded system that uses Ultra-Wide Band (UWB) accuracy to deliver pinpoint asset tracking. It is crucial to keep an eye on them. constructing a Real-Time Locating System (RTLS), to use technical terminology. Even though they were effective, conventional navigation systems like GPS, Wi-Fi, and BLE have limitations due to interference and range. UWB effectively overcomes these constraints with its massive 7.5GHz bandwidth and lower interference (- 41.3dBm/1MHz). When it comes to interior navigation, UWB works better since it has a higher connection than Wi-Fi and GPS. Conversely, UWB has no propagation effects like as scattering or reflection and can simply flow through an obstruction. The goal is to create an embedded system that uses an Arduino UNO to gather data from a Deca Wave DW1000, which will serve as a tag and anchor for effective asset navigation utilizing the Time of Flight (ToF) localization method.