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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mu Zhou Qiao Zhang Zengshan Tian Kunjie Xu Feng Qiu Haibo Wu |
| Copyright Year | 2015 |
| Description | Author affiliation: Ericsson, San Jose, CA, USA (Kunjie Xu) || Chongging Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China (Mu Zhou; Qiao Zhang; Zengshan Tian; Feng Qiu) || China Internet Res. Lab., Comput. Network Inf. Center, Beijing, China (Haibo Wu) |
| Abstract | In the area of Wireless Local Area Network (WLAN) based indoor localization, the Received Signal Strength (RSS) fingerprinting based localization technique has been studied extensively. Site survey phase in RSS fingerprinting is always considered to be time-consuming and labor intensive. To solve this problem, we propose a novel Indoor Mapping and Localization Using RSS Solely (IMLours) approach, which utilizes the spectral clustered time-stamped WLAN RSS data to characterize environmental layout, as well as conduct target localization. First of all, we use the off-the-shelf smartphones to sporadically record a batch of WLAN RSS data in indoor environment. Second, spectral clustering is applied to classify the RSS data in each sequence into different clusters. The clusters are then used to construct the logic graphs. Third, we do the mapping from logic graphs into ground-truth graph. Finally, based on the extensive experiments conducted in a real WLAN indoor environment, our proposed IMLours approach is proved to achieve satisfactory localization accuracy. |
| Starting Page | 1924 |
| Ending Page | 1929 |
| File Size | 5511793 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479984060 |
| DOI | 10.1109/WCNC.2015.7127762 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless LAN Sensors Fingerprint recognition Correlation Accuracy Mobile communication Layout Scheduling Mobile Crowd Sensing Real-Time Sensing Tasks |
| Content Type | Text |
| Resource Type | Article |
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