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  5. Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System
 
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Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System

Journal
Proceedings - 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022
Date Issued
2022-01-01
Author(s)
Abdul Halim Ismail
Universiti Malaysia Perlis
Amirah Husna Mohd Hajazi
Universiti Malaysia Perlis
Muhamad Safwan Muhamad Azmi
Universiti Malaysia Perlis
Mohd Sani Mohamad Hashim
Universiti Malaysia Perlis
Mohd Nasir Ayob
Universiti Malaysia Perlis
Hassrizal Hassan Basri
Universiti Malaysia Perlis
DOI
10.1109/ICE3IS56585.2022.10010207
Abstract
The mobile robot navigation is the next huge topic after positioning utilizing fingerprinting-based Wireless Positioning System (WPS). Many of recent works does not discuss this topic yet since many open problems in positioning topic are not yet solved, for instance the issues on multi-devices heterogeneity, instability of WiFi signals, granularity problems in grid-based indoor environment and many others. However, we anticipate that both positioning and navigation works must run in parallel so that the succession are guaranteed. This paper describes the analysis of spatio-temporal data of the signal obtained from the WiFi Access Point. Initial results suggest that the difference between transmitter heights have an effect on the spatio-temporal data while the handover of maximum signal strengths is inherent when three WiFi APs are used.
Funding(s)
Ministry of Higher Education, Malaysia
Subjects
  • indoor positioning sy...

File(s)
research repository notification.pdf (4.4 MB)
Views
1
Acquisition Date
Nov 19, 2024
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