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A Weighted K-AP Query Method for RSSI Based Indoor Positioning [chapter]

Huan Huo, Xiufeng Liu, Jifeng Li, Huhu Yang, Dunlu Peng, Qingkui Chen
2016 Lecture Notes in Computer Science  
The algorithm can find out K nearest positions and weighted them for re-positioning to accelerate the matching speed between online data and offline data, and also improve the efficiency of positioning  ...  WF-SKL utilizes LCS algorithm to find out the measurement between the nearest neighbors, and it proposes K-AP (P,Q) nearest neighbor queries between two sets based on Map-Reduce framework.  ...  library based on the correlations of RSSI. Furthermore, we introduce an AP fingerprint based WF-SKL algorithm, which adapts the KNN algorithm to a weighted K-AP query method.  ... 
doi:10.1007/978-3-319-46922-5_12 fatcat:uwhqbtncijfcthx33jqvdt2z3y

Wi-Fi Fingerprint Localization Using RSSI-Probability Radio Map and AP Weight Clustering

Peng Tang
2016 Journal of Advances in Computer Networks  
In this paper, we proposed a RSSI-Probability transformation algorithm for radio map construction that improves positioning accuracy and AP (Access Point) weight clustering that reduces the computational  ...  Index Terms-Wi-Fi fingerprint localization, RSSI probability distribution, AP weight clustering.  ...  And the test environment was supported by Beijing Engineering Research Center for IoT Software and Systems.  ... 
doi:10.18178/jacn.2016.4.2.215 fatcat:a6c3dlroybhrvgbsn4mqnj6vpq


E. Gulo, G. Sohn, A. Afnan
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our experimental results demonstrate that this may be a viable approach for positioning using mobile devices in an indoor environment.</p>  ...  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  ...  Other filtering may also occur based on the initialization parameters, for example, APs with very erratic RSSI readings (beyond a certain threshold), or APs with very low mean RSSI (again, beyond a certain  ... 
doi:10.5194/isprs-archives-xlii-4-253-2018 fatcat:gxi7jie2y5dlbn25jqtdx2vgse

Spatio-temporal (S-T) similarity model for constructing WIFI-based RSSI fingerprinting map for indoor localization

Julie Yixuan Zhu, Anny Xijia Zheng, Jialing Xu, Victor O. K. Li
2014 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
This model is evaluated based on experiments in our indoor WIFI positioning system test bed.  ...  WIFI-based received signal strength indicator (RSSI) fingerprinting is widely used for indoor localization due to desirable features such as universal availability, privacy protection, and low deployment  ...  For the spatial distribution of an arbitrary AP, a dot appearing at one position means that this AP can be detected at this position.  ... 
doi:10.1109/ipin.2014.7275543 dblp:conf/ipin/ZhuZXL14 fatcat:sq4vgwcf5jfx3aqb2vazrtmfwa

On Potentials and Limitations of a Hybrid WLAN-RFID Indoor Positioning Technique

Silverio C. Spinella, Antonio Iera, Antonella Molinaro
2010 International Journal of Navigation and Observation  
This paper addresses the important issue of position estimation in indoor environments.  ...  WLAN and RFID technologies are synergistically used to provide a platform for a more performing positioning process, in which the very strong identification capabilities of the RFID technology allow to  ...  Mobile user (b) (a) Search position Algorithm Mobile user Store RSSI 1,..., RSSI NA Query Best match K nearest found in zone z Reader WLAN Mobile user location (x es , y es  ... 
doi:10.1155/2010/397467 fatcat:bm7azpsdizevlpqgplpb6333bu

Enhanced Fingerprinting Based Indoor Positioning Using Machine Learning

Muhammad Waleed Pasha, Mir Yasir Umair, Alina Mirza, Faizan Rao, Abdul Wakeel, Safia Akram, Fazli Subhan, Wazir Zada Khan
2021 Computers Materials & Continua  
Due to the inability of the Global Positioning System (GPS) signals to penetrate through surfaces like roofs, walls, and other objects in indoor environments, numerous alternative methods for user positioning  ...  Amongst those, the Wi-Fi fingerprinting method has gained considerable interest in Indoor Positioning Systems (IPS) as the need for lineof-sight measurements is minimal, and it achieves better efficiency  ...  Torres-Sospedra for making the database publicly available to us.  ... 
doi:10.32604/cmc.2021.018205 fatcat:kd3j3djqtnaptldo7wjolpdyc4

Accurate Guidance Method and App Development for Assigning Parking Spaces Based on Indoor Wi-Fi

Fuquan Pan, Haitao Pan, Lixia Zhang, Changxi Ma, Jinshun Yang, Guoxiang Kang
2021 Promet (Zagreb)  
By using a Kalman filter, the Grubbs test, and a neural network algorithm to improve the RSSI-based location fingerprint identification technology, an accurate location method based on indoor Wi-Fi is  ...  We utilize Beidou positioning to develop a Gaode map for outdoor navigation and use an integrated system of ultrasonic detector/indicators and ground locks to manage parking spaces.  ...  Positioning technology combined with the app can bring great CONCLUSION In this paper, an improved RSSI-based location fingerprint positioning technology is presented, and a Wi-Fi-based method for precise  ... 
doi:10.7307/ptt.v33i3.3599 fatcat:j6dnjxzm4ne7npln7nbenjwgei

An Indoor Pedestrian Localization Algorithm Based on Multi-Sensor Information Fusion

Xiangyu Xu, Mei Wang, Liyan Luo, Zhibin Meng, Enliang Wang
2017 Journal of Computer and Communications  
For existing indoor localization algorithm has low accuracy, high cost in deployment and maintenance, lack of robustness, and low sensor utilization, this paper proposes a particle filter algorithm based  ...  In this paper, a dynamic interval particle filter algorithm based on pedestrian dead reckoning (PDR) information and RSSI localization information have been used to improve the filtering precision and  ...  The position of the final anchor is estimated as the weight of the k reference points, the weight of i reference point is i w .  ... 
doi:10.4236/jcc.2017.53012 fatcat:53degmwilve6tbe6hrqlfhl3sm

3D Point Cloud-based Indoor Mobile Robot in 6-DoF Pose Localization using a Wi-Fi-Aided Localization System

Mingcong Shu, Guoliang Chen, Zhenghua Zhang
2021 IEEE Access  
Six-DoF (Six-degree-of-freedom) pose localization based on 3D point clouds is a challenging task for LBSs (localization-based services).  ...  matching point sets for RGBD sensors in dynamic indoor scenes.  ...  The k-weighted nearest neighbor algorithm is a version of k-NN that has been improved by introducing a weighted distance factor.  ... 
doi:10.1109/access.2021.3060760 fatcat:w43azhmuwzatzonl5ayrej3zpa

KL-divergence kernel regression for non-Gaussian fingerprint based localization

Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho
2011 2011 International Conference on Indoor Positioning and Indoor Navigation  
Various methods have been developed for indoor localization using WLAN signals.  ...  Our method provides a natural way of smoothing over time and trajectories. Moreover, we propose unsupervised KL-divergence-based recalibration of the training fingerprints.  ...  ACKNOWLEDGMENT The authors would like to thank Benjamin Lowe and Detlef Hartmann for their assistance in data collection and helpful feedback.  ... 
doi:10.1109/ipin.2011.6071928 dblp:conf/ipin/MirowskiSWPMH11 fatcat:lvdlra4cjbci3kkjzxlgvfm6me

A Probabilistic Approach for WiFi Fingerprint Localization in Severely Dynamic Indoor Environments

Feng Zhao, Tiancheng Huang, Donglin Wang
2019 IEEE Access  
Taking advantage of widely deployed access points (AP), WiFi fingerprint based localization is of importance in indoor internet-of-things (IOT) environments.  ...  EM based filter and simultaneous AP selection and localization are then proposed to obtain an optimal matching.  ...  • CNN-Based [36] : Haider et al. proposed a data pre-and post-processing algorithm and a learning classifier for Wi-Fi fingerprint-based indoor positioning.  ... 
doi:10.1109/access.2019.2935225 fatcat:ug6ov2mkmjee3p6hgid53prh4m

Sectjunction: Wi-Fi indoor localization based on junction of signal sectors

Suining He, S.-H. Gary Chan
2014 2014 IEEE International Conference on Communications (ICC)  
In Wi-Fi fingerprint localization, a target sends its measured Received Signal Strength Indicator (RSSI) of access points (APs) to a server for its position estimation.  ...  Based on the received AP RSSI, the target can then be mapped to the sector where it is likely to be.  ...  The estimated location is then based on the most similar RP or a weighted sum of k nearest neighbors.  ... 
doi:10.1109/icc.2014.6883716 dblp:conf/icc/HeC14 fatcat:dg7slgcs7nfnrk2p6yc7dbovfy

Real-Time Indoor Positioning Approach Using iBeacons and Smartphone Sensors

Liu Liu, Bofeng Li, Ling Yang, Tianxia Liu
2020 Applied Sciences  
For localization in daily life, low-cost indoor positioning systems should provide real-time locations with a reasonable accuracy.  ...  The positioning accuracy of the iBeacon-based method is RMSE 2.75 m. When the smartphone is held steadily, the fusion positioning tests result in RMSE of 2.39 and 2.22 m for the two routes.  ...  Introduction Indoor positioning is important for indoor awareness, and it can support queries on the locations of users.  ... 
doi:10.3390/app10062003 fatcat:tunulvgafffoxlmcibp2sv5fqe

Dynamic active area clustering with inertial information for fingerprinting based indoor localization systems

Fan Yang, Jia-Liang Lu, Fabrice Theoleyre, Wei Shu, Min-You Wu
2015 2015 IFIP Networking Conference (IFIP Networking)  
Fingerprinting based localization is one of the most widely used indoor localization methods.  ...  We evaluate this method compared with the state-of-the-art methods on a body sensor based localization system.  ...  Once the RSSI fingerprinting localization module returns a position denoted X rss , it is possible to correct the weight of particles: p(Z k |x i k ) = Ae −||Xrss−X x i k || 2 (7) where A is the weighting  ... 
doi:10.1109/ifipnetworking.2015.7145332 dblp:conf/networking/YangLTSW15 fatcat:zobj44kdczc65mikclz3oqydy4

Low-Power Indoor Positioning Algorithm Based on iBeacon Network

Xiaona Zhang, Shufang Zhang, Shuaiheng Huai, Zhihan Lv
2021 Complexity  
Secondly, based on the obtained analysis, an iBeacon-based indoor positioning system is proposed to analyze how to use iBeacon for accurate positioning and whether it can effectively compensate for the  ...  We analyze the requirements of the iBeacon-based indoor positioning system and propose the design of this positioning system.  ...  filters and develop an indoor positioning system based on this method.  ... 
doi:10.1155/2021/8475339 fatcat:yat3tvhdsjcxnmb6lgpnb5gmgy
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