Integrated Indoor Positioning with Mobile Devices for Location-Based Service Applications

2014 ◽  
pp. 329-341
Author(s):  
Bei Huang ◽  
Yang Gao
Keyword(s):  
Mobile Devices ◽  
Indoor Positioning ◽  
Location Based Service

Improved GNSS-based indoor positioning algorithm for mobile devices

GPS Solutions ◽  
2017 ◽  
Vol 21 (4) ◽  
pp. 1721-1733 ◽  
Author(s):  
Rui Xu ◽  
Wu Chen ◽  
Ying Xu ◽  
Shengyue Ji ◽  
Jianye Liu
Keyword(s):  
Mobile Devices ◽  
Indoor Positioning ◽  
Positioning Algorithm

scholarly journals MODEL LAYANAN INFORMASI LOKASI MASJID DI WILAYAH KOTA TANGERANG MENGGUNAKAN PERANGKAT BERGERAK (MOBILE DEVICE)

Jurnal Teknik ◽  
2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Angga Aditya Permana
Keyword(s):  
Mobile Devices ◽  
Global Positioning System ◽  
Mobile Device ◽  
Historical Background ◽  
Positioning System ◽  
Location Based Service ◽  
Global Positioning

MuslimisthebiggestinhabitantinIndonesia,sothatthey needanextraordinary servicewhich canprovide informationabouttheirobligatory religiousactivity inthis caseissholat.Sholat is preferabledoneatmosqueespeciallyformale.Therefore, informationaboutthenearestmosque ismuchneeded,especiallyformobileusereven traveler. Thisinformationisimplicatedinmobile device,thereforeusercanaccess wheneverandwhereverasquickaspossible.Servicethatwillbe modeledinthis research exploiting Global Positioning System(GPS)on android mobile devices based on  LocationBased  Service  (LBS).This  servicemodel  is  developedfor  providing information about location and historical background of mosquein Tangerang.Keywords:  Android,  Global  Positioning  System,  Location Based  Service,  MobileDevice.

scholarly journals THE ACCURACY OF ALGORITHMS FOR WLAN INDOOR POSITIONING AND THE STANDARDIZATION OF SIGNAL RECEPTION FOR DIFFERENT MOBILE DEVICES

2014 ◽  
pp. 103-109
Author(s):  
Uwe Grossmann ◽  
Markus Schauch ◽  
Syuzanna Hakobyan
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Indoor Positioning ◽  
Base Station ◽  
Personal Digital Assistants ◽  
Strength Index ◽  
Average Accuracy ◽  
Different Types ◽  
Seminar Room

Often mobile devices like mobile phones or personal digital assistants (PDA) are equipped with IEEE 802.11 WLAN adapters. Furthermore, within many buildings a WLAN infrastructure is available. The aim of this work is to investigate the quality of different indoor positioning methods based on values of WLAN received signal strength index (RSSI) using commercially available devices (mobile phones, PDA). Three positioning algorithms were considered: minimal Euclidian distance, intersections of RSSI-Isolines and a stochastic model based on Bayes' theorem. Two measuring testbeds, a museum's exhibition room and an empty seminar room, four different types of PDA (Dell, Fujitsu, HP, T-Mobile) and two types of access points (Netgear, Lancom) were used. Results show that positioning can be achieved with an average accuracy of approx. 2-3 metres. WLAN capable mobile devices behave differently in receiving RSSI values of a base station. For reasons of standardization a linear correlation between different receiving levels of PDA was investigated.

scholarly journals Research on an Economic Localization Approach

2019 ◽  
Vol 12 (1) ◽  
pp. 44
Author(s):  
Fengchun Yin ◽  
Jun Yin
Keyword(s):  
Wireless Network ◽  
Pervasive Computing ◽  
Indoor Environment ◽  
Rapid Development ◽  
Indoor Positioning ◽  
Location Based Service ◽  
Computing Technology ◽  
Existing Problems ◽  
Positioning Method ◽  
Localization Approach

With the development of wireless network and the wide application of pervasive computing technology, the location-based service (LBS) needs more and more location information for mobile users. At present, the outdoor positioning system based on satellite signals has been very mature, but it can not be applied in the complex indoor environment. Therefore, indoor positioning technology has rapidly become a research hotspot. At the same time, the rapid development of wireless network technology, because of its fast communication speed, easy deployment and other characteristics, WiFi-based indoor positioning technology has been widely concerned and studied. Therefore, this paper takes an economic WiFi-based indoor positioning method as the research foundation, and studies the corresponding improved algorithm aiming at the existing problems.

scholarly journals INDOOR POSITIONING USING WLAN FINGERPRINT MATCHING AND PATH ASSESSMENT WITH RETROACTIVE ADJUSTMENT ON MOBILE DEVICES

2018 ◽  
Vol XLII-4 ◽  
pp. 253-260
Author(s):  
E. Gulo ◽  
G. Sohn ◽  
A. Afnan
Keyword(s):  
Mobile Devices ◽  
Inertial Sensor ◽  
Dead Reckoning ◽  
Indoor Positioning ◽  
Sensor Data ◽  
Fingerprint Matching ◽  
Positioning Accuracy ◽  
Viable Approach ◽  
Similar Accuracy ◽  
Pedestrian Dead Reckoning

<p><strong>Abstract.</strong> With the increasing number and usage of mobile devices in people’s daily life, indoor positioning has attracted a lot attention from both academia and industry for the purpose of providing location-aware services. This work proposes an indoor positioning system, primarily based on WLAN fingerprint matching, that includes various minor improvements to improve the positioning accuracy of the algorithm, as well as improve the quality and reduce the collection time of the reference fingerprints. In addition, a novel Path Evaluation and Retroactive Adjustment module is employed; it intends to improve the positioning accuracy of the system in a similar fashion to a Pedestrian Dead Reckoning implemented along with WLAN Fingerprint Matching in a Sensor Fusion system. The benefit of this approach being that it avoids the requirement of inertial sensor data, as well as its intensive computation and power use, while providing a similar accuracy improvement to Pedestrian Dead Reckoning. Our experimental results demonstrate that this may be a viable approach for positioning using mobile devices in an indoor environment.</p>

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