Lateration technique for wireless indoor positioning in single-storey and multi-storey scenarios

Lee Chin Vui, Rosdiadee Nordin

Research output: Contribution to journalArticle

Abstract

The focus of this research is to develop a technique for indoor localization for tracking activity using Wireless Local Area Network (WLAN). The research is conducted by studying the characteristic of the WiFi signal propagation inside a multi-storey building during static condition and compare with walking conditions to compare the accuracy of the tracking technique. The results show the characteristic of the graph pattern from the Received Signal Strength Indicator (RSSI) measurement between static and walking conditions around the considered building area. The result shows the RSSI pattern is statistically anomaly and proven that this technique can be applied for wireless indoor localization applications such as hospitalization, logistic tracking, shopping recommendation and future smart house.

Original languageEnglish
Pages (from-to)670-675
Number of pages6
JournalJournal of Theoretical and Applied Information Technology
Volume68
Issue number3
Publication statusPublished - 1 Oct 2014

Fingerprint

Positioning
Received Signal Strength
Intelligent buildings
Scenarios
Wireless local area networks (WLAN)
Logistics
Wireless Local Area Network (WLAN)
Wi-Fi
Anomaly
Recommendations
Propagation
Graph in graph theory

Keywords

  • Indoor Localization
  • Lateration
  • RSSI
  • Wireless
  • WLAN

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

@article{45a5835f048c484093aabe1adf0fc133,
title = "Lateration technique for wireless indoor positioning in single-storey and multi-storey scenarios",
abstract = "The focus of this research is to develop a technique for indoor localization for tracking activity using Wireless Local Area Network (WLAN). The research is conducted by studying the characteristic of the WiFi signal propagation inside a multi-storey building during static condition and compare with walking conditions to compare the accuracy of the tracking technique. The results show the characteristic of the graph pattern from the Received Signal Strength Indicator (RSSI) measurement between static and walking conditions around the considered building area. The result shows the RSSI pattern is statistically anomaly and proven that this technique can be applied for wireless indoor localization applications such as hospitalization, logistic tracking, shopping recommendation and future smart house.",
keywords = "Indoor Localization, Lateration, RSSI, Wireless, WLAN",
author = "Vui, {Lee Chin} and Rosdiadee Nordin",
year = "2014",
month = "10",
day = "1",
language = "English",
volume = "68",
pages = "670--675",
journal = "Journal of Theoretical and Applied Information Technology",
issn = "1992-8645",
publisher = "Asian Research Publishing Network (ARPN)",
number = "3",

}

TY - JOUR

T1 - Lateration technique for wireless indoor positioning in single-storey and multi-storey scenarios

AU - Vui, Lee Chin

AU - Nordin, Rosdiadee

PY - 2014/10/1

Y1 - 2014/10/1

N2 - The focus of this research is to develop a technique for indoor localization for tracking activity using Wireless Local Area Network (WLAN). The research is conducted by studying the characteristic of the WiFi signal propagation inside a multi-storey building during static condition and compare with walking conditions to compare the accuracy of the tracking technique. The results show the characteristic of the graph pattern from the Received Signal Strength Indicator (RSSI) measurement between static and walking conditions around the considered building area. The result shows the RSSI pattern is statistically anomaly and proven that this technique can be applied for wireless indoor localization applications such as hospitalization, logistic tracking, shopping recommendation and future smart house.

AB - The focus of this research is to develop a technique for indoor localization for tracking activity using Wireless Local Area Network (WLAN). The research is conducted by studying the characteristic of the WiFi signal propagation inside a multi-storey building during static condition and compare with walking conditions to compare the accuracy of the tracking technique. The results show the characteristic of the graph pattern from the Received Signal Strength Indicator (RSSI) measurement between static and walking conditions around the considered building area. The result shows the RSSI pattern is statistically anomaly and proven that this technique can be applied for wireless indoor localization applications such as hospitalization, logistic tracking, shopping recommendation and future smart house.

KW - Indoor Localization

KW - Lateration

KW - RSSI

KW - Wireless

KW - WLAN

UR - http://www.scopus.com/inward/record.url?scp=84908331012&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908331012&partnerID=8YFLogxK

M3 - Article

VL - 68

SP - 670

EP - 675

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 3

ER -