Publication:
Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System
Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System
Date
2022-01-01
Authors
Abdul Halim Ismail
Amirah Husna Mohd Hajazi
Muhamad Safwan Muhamad Azmi
Mohd Sani Mohamad Hashim
Mohd Nasir Ayob
Hassrizal Hassan Basri
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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.
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Keywords
indoor positioning system | mobile robot | spatio temporal data | WiFi fingerprinting | wireless positioning system