Indoor Item Finding based on RSSI and RFID Tags

Soi Hou Tam, Ka Cheng Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In our daily life, people often spend time to find their forgotten or misplace items for indoor. As a result, they often lead to frustration and abandonment of the finding due to various factors. Therefore, this paper is to develop system and propose an algorithm to solves these problems. The paper focus on the development of a lost item finding system that allows people to find their lost items effectively. The system enables users to position and scan tagged items within indoor environments. Additionally, the repository is provided for managing items. Moreover, the user customizes the indoor and display the estimated position of tag for assist for finding by 3D editor. This system adopts the proposed indoor positioning algorithm for estimating the position of a tag. This algorithm focuses on setting up four reference points and considering RSSI, and path loss that encounter interference during the signal communication. These factors ensure suitability for different indoor environments. The proposed indoor positioning algorithm uses reference points, RSSI, and path loss to improve the accuracy, precision, and efficient of the indoor positioning. Therefore, users can quickly and conveniently find their lost items by various features of the lost item finding system.

Original languageEnglish
Title of host publicationCNIOT 2024 - Conference Proceeding, 2024 5th International Conference on Computing, Networks and Internet of Things
PublisherAssociation for Computing Machinery
Pages564-570
Number of pages7
ISBN (Electronic)9798400716751
DOIs
Publication statusPublished - 24 May 2024
Event5th International Conference on Computing, Networks and Internet of Things, CNIOT 2024 - Tokyo, Japan
Duration: 24 May 202426 May 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Computing, Networks and Internet of Things, CNIOT 2024
Country/TerritoryJapan
CityTokyo
Period24/05/2426/05/24

Keywords

  • Indoor positioning
  • Item finding
  • RSSI
  • UHF RFID
  • wireless

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