DocumentCode :
3753218
Title :
Measurement-Based Access Point Deployment Mechanism for Indoor Localization
Author :
Dong Li;Baoxian Zhang;Kui Huang;Cheng Li
Author_Institution :
Res. Center of Ubiquitous Sensor Networks, Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we study how to deploy new access points (AP) to achieve improved accuracy for WiFi- based indoor localization systems. Existing mechanisms in this aspect are typically simulation based and further they do not consider how to use pre-existing APs in target environment for achieving high localization performance. To overcome these issues, in this paper, we propose a measurement-based AP deployment mechanism (MAPD). MAPD takes advantage of those pre-existing APs to identify candidate positions with poor localization accuracy for deploying new APs. We then collect the fingerprints for all possible AP deployment layouts via over- deployment of APs, one at each candidate position. Finally, we present a greedy search algorithm to identify m positions out of the n candidate positions (m≤n) while minimizing the location error. Experimental results demonstrate that the localization errors can be largely reduced: Mean error distance can be reduced by 0.56 meter (26%) and 0.17 meter (10%) as compared with the case without deploying new APs and previous work, respectively; Moreover, the maximum location error can be reduced by 1.53 meter (27%) and 0.51 meter (11%), respectively.
Keywords :
"Fingerprint recognition","Wireless LAN","Position measurement","Layout","Algorithm design and analysis","Linear programming","Indoor environments"
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2015 IEEE
Type :
conf
DOI :
10.1109/GLOCOM.2015.7417107
Filename :
7417107
Link To Document :
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