Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System

2016 ◽  
Vol 95 (2) ◽  
pp. 445-455 ◽  
Author(s):  
Nasrullah Pirzada ◽  
Mohd Yunus Nayan ◽  
Fazli Subhan ◽  
Adeel Abro ◽  
Mohd Fadzil Hassan ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Localization System ◽  
Fingerprinting Technique ◽  
Location Fingerprinting ◽  
Device Free

scholarly journals Performance evaluation of an acoustic indoor localization system based on a fingerprinting technique

2014 ◽  
Vol 2014 (1) ◽  
Author(s):  
Nadia Aloui ◽  
Kosai Raoof ◽  
Ammar Bouallegue ◽  
Stephane Letourneur ◽  
Sonia Zaibi
Keyword(s):  
Performance Evaluation ◽  
Indoor Localization ◽  
Localization System ◽  
Fingerprinting Technique

scholarly journals An Analysis of Device-Free and Device-Based WiFi-Localization Systems

2014 ◽  
Vol 6 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Heba Aly ◽  
Moustafa Youssef
Keyword(s):  
Indoor Localization ◽  
Indoor Environments ◽  
Factors Affecting ◽  
Localization System ◽  
Finger Print ◽  
Area Of Interest ◽  
Crowd Effect ◽  
Wifi Localization ◽  
Technology Upgrade ◽  
Device Free

WiFi-based localization became one of the main indoor localization techniques due to the ubiquity of WiFi connectivity. However, indoor environments exhibit complex wireless propagation characteristics. Typically, these characteristics are captured by constructing a fingerprint map for the different locations in the area of interest. This finger print requires significant overhead in manual construction, and thus has been one of the major drawbacks of WiFi-based localization. In this paper, the authors present an automated tool for finger print constructions and leverage it to study novel scenarios for device-based and device-free WiFi-based localization that are difficult to evaluate in a real environment. In a particular, the authors examine the effect of changing the access points (AP) mounting location, AP technology upgrade, crowd effect on calibration and operation, among others; on the accuracy of the localization system. The authors present the analysis for the two classes of WiFi-based localization: device-based and device-free. The authors analysis highlights factors affecting the localization system accuracy, how to tune it for better localization, and provides insights for both researchers and practitioners.

Sign in / Sign up

Export Citation Format

Share Document