Abstract
This work proposes a novel Integrated Heterogeneous Infrastructure for Indoor Positioning (IHIIP) with a low-energy Bluetooth beacon to obtain positioning data. This study defines the fuzzy area of subspace selection to improve the indoor positioning accuracy. This study proposed a novel threshold mechanisms are used to select the signal transmitter for positioning and thus improve current positioning accuracy of indoor environment. The IHIIP outperforms both Wi-Fi Access Point (AP) and Beacon in that it provides greater positioning accuracy. Experimental results demonstrate that the mean error distance is 1.29 m only using Wi-Fi AP, 1.33 m only using Beacon and 1.21 m in the proposed IHIIP for indoor positioning.
Original language | English |
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Title of host publication | Security, Privacy and Anonymity in Computation, Communication and Storage - SpaCCS 2016 International Workshops, Proceedings |
Editors | Sabu M. Thampi, Guojun Wang, Indrakshi Ray, Jose M. Alcaraz Calero |
Publisher | Springer Verlag |
Pages | 249-256 |
Number of pages | 8 |
ISBN (Print) | 9783319491448 |
DOIs | |
State | Published - 2016 |
Externally published | Yes |
Event | 9th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2016 - Zhangjiajie, China Duration: 16 11 2016 → 18 11 2016 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10067 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 9th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2016 |
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Country/Territory | China |
City | Zhangjiajie |
Period | 16/11/16 → 18/11/16 |
Bibliographical note
Publisher Copyright:© Springer International Publishing AG 2016.
Keywords
- Beacon
- Bluetooth 4.0 low energy
- Fingerprinting
- Indoor positioning
- K-Nearest Neighbors (KNN)
- Multilateration
- Received Signal Strength Indication (RSSI)