A new algorithm for improving the tracking and positioning of cell of origin

Bai, Y, Norman, R, Zhao, Y, Tang, S, Wu, S, Wu, H, Retscher, G and Zhang, K 2015, 'A new algorithm for improving the tracking and positioning of cell of origin', in Proceedings of the 2015 International Association of Institutes of Navigation World Congress (IAIN 2015), Prague, Czech Republic, 20-23 October 2015, pp. 340-345.


Document type: Conference Paper
Collection: Conference Papers

Title A new algorithm for improving the tracking and positioning of cell of origin
Author(s) Bai, Y
Norman, R
Zhao, Y
Tang, S
Wu, S
Wu, H
Retscher, G
Zhang, K
Year 2015
Conference name IAIN 2015
Conference location Prague, Czech Republic
Conference dates 20-23 October 2015
Proceedings title Proceedings of the 2015 International Association of Institutes of Navigation World Congress (IAIN 2015)
Publisher IEEE
Place of publication United States
Start page 340
End page 345
Total pages 6
Abstract Wi-Fi and smartphone based positioning technologies are playing a more and more important role for tracking and positioning due to the rapid development of the smartphone market. However, the low positioning accuracy of these technologies is still an issue for indoor positioning. This research is part of an Australian Research Council (ARC) project required by a large global shopping mall company located in Australia. It aims to develop an effective customer tracking approach for acquiring shopping behavior of customers and providing better services. Currently, the log data provided by the company only records one Wi-Fi connection at a time for each smartphone user, which makes most of the conventional tracking and positioning methods inapplicable. Only the cell of origin (CoO) method can be selected for the customer tracking and positioning. The designated shopping mall floor was initially partitioned using Voronoi diagram based on the distribution of the access point (AP) and received signal strength indicator (RSSI) values. However, the cells created by the Voronoi diagram did not reflect the real indoor complexity of the surrounding environment. In order to solve this problem, a new algorithm called the common hand over point determination (CHOPD) algorithm was developed, in which the statistical RSSI values from the real Wi-Fi network log data are used for the spatial and temporal position calculation of the handover point (HOP). The boundary of the cell can be determined once the HOP position is calculated. The RSSI values are detected by the Wi-Fi network from the smartphone carried by each customer walking on the shopping mall floor as they passed through two adjacent APs. The new algorithm was tested in a large shopping-mall-like space and 100 test sampling records were used for the HOP calculation. The results from the new algorithm were assessed and were found to be within 9cm difference from the true HOP location.
Subjects Information Systems Development Methodologies
Keyword(s) positioning algorithm
cell boundary determination
cell of origin (CoO)
indoor positioning
DOI - identifier 10.1109/IAIN.2015.7352267
Copyright notice © 2015 IEEE
ISBN 9781467376358
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