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The Tale of Two Localization Technologies

Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef
2017 Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL'17  
In this paper, we present HybridLoc: an accurate low-overhead indoor localization system.  ...  Moreover, the localization accuracy on low-end phones supporting only WiFi is comparable to that achieved with high-end phones supporting BLE.  ...  HybridLoc targets enabling WiFi-based localization for low-end phones in buildings with the iBeacon infrastructure while removing the traditional WiFi calibration overhead.  ... 
doi:10.1145/3139958.3139989 dblp:conf/gis/ShokryEY17 fatcat:ozw75f573fhjhaoihare65pklu

Removing useless APs and fingerprints from WiFi indoor positioning radio maps

Samih Eisa, Joao Peixoto, Filipe Meneses, Adriano Moreira
2013 International Conference on Indoor Positioning and Indoor Navigation  
The radio maps consist of WiFi fingerprints collected at a predefined set of positions/places within a positioning area.  ...  Maintaining consistent radio maps for WiFi fingerprinting-based indoor positioning systems is an essential step to improve the performance of the positioning engines.  ...  The prototype uses the Ultra-low Power WiFi module from GainSpan [13] to represent the WiFi tag sensor.  ... 
doi:10.1109/ipin.2013.6817919 dblp:conf/ipin/EisaPMM13 fatcat:tcvdw7qsxvcbthantfre5s7yta

DeepLoc

Ahmed Shokry, Marwan Torki, Moustafa Youssef
2018 Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '18  
This highlights the promise of DeepLoc as a ubiquitous accurate and low-overhead localization system.  ...  including scaling the data collection to large areas, handling the inherent noise in the cellular signal and geo-tagged data, as well as providing enough data that is required for deep learning models with low-overhead  ...  The idea is to use a WiFi fingerprint or landmarks detected by the different phone sensors to localize the phone. These systems can provide remarkable accuracy with a low-energy profile.  ... 
doi:10.1145/3274895.3274909 dblp:conf/gis/ShokryTY18 fatcat:aihqblb3x5exhb62dbntdjy6my

Autonomous WiFi Fingerprinting for Indoor Localization [article]

Shilong Dai, Liang He, Xuebo Zhang
2019 arXiv   pre-print
However, the overhead of constructing and maintaining the WiFi fingerprint map remains a bottleneck for the wide-deployment of WiFi-based indoor localization systems.  ...  AuF first conduct an automatic initialization process in the target indoor environment, then constructs the WiFi fingerprint database of in two steps: (i) surveying the site without sojourn, (ii) recovering  ...  CONCLUSION To mitigate the overhead of fingerprint map construction for WiFi-based indoor location systems, the robot are adopted to perform fingerprinting.  ... 
arXiv:1911.11825v1 fatcat:7q2lc3hegvaqzhvrqq5knmgz4y

FastID: An undeceived router for real-time identification of WiFi terminals

Li Lu, Runzhe Wang, Jing Ding, Wubin Mao, Wei Chen, Hongzi Zhu
2015 2015 IFIP Networking Conference (IFIP Networking)  
In this paper, we present FastID -a practical system that identifies WiFi terminals in real-time by fingerprinting their clocks.  ...  Experimental results show that FastID is able to identify terminals with high accuracy and low cost within several seconds.  ...  overhead.  ... 
doi:10.1109/ifipnetworking.2015.7145328 dblp:conf/networking/LuWDMCZ15 fatcat:iozzp75jd5e57jryyjze67nswa

CellSense: An Accurate Energy-Efficient GSM Positioning System [article]

Mohamed Ibrahim, Moustafa Youssef
2011 arXiv   pre-print
We then extend the proposed system using a hybrid technique that combines probabilistic and deterministic estimation to achieve both high ac- curacy and low computational overhead.Moreover, the accuracy  ...  In this paper, we present CellSense, a prob- abilistic RSSI-based fingerprinting location determi- nation system for GSM phones.  ...  This adds significantly to the overhead of the fingerprint construction process.  ... 
arXiv:1110.3425v1 fatcat:vvb2qmvumffw7a5uf6qzdb4564

Detecting Rogue Access Points Using Client-agnostic Wireless Fingerprints

Yuxiang Lin, Yi Gao, Bingji Li, Wei Dong
2022 ACM transactions on sensor networks  
In this work, we investigate two novel client-agnostic fingerprints, which can be extracted using commercial off-the-shelf WiFi devices, to detect rogue APs.  ...  We evaluate our scheme in both in-lab and field scenarios, by analyzing 18 million WiFi packets.  ...  As an 802.11n network supports a data rate of more than 300Mbps [23] , such low overhead is negligible for commercial APs.  ... 
doi:10.1145/3536423 fatcat:fa6o4meuvbdz3efu2znxroqq3m

Gradient-Based Fingerprinting for Indoor Localization and Tracking

Yuanchao Shu, Yinghua Huang, Jiaqi Zhang, Philippe Coue, Peng Cheng, Jiming Chen, Kang G. Shin
2016 IEEE transactions on industrial electronics (1982. Print)  
By incorporating Gmap, GIFT is more adaptive to the time-variant RSSI in indoor environments, thus effectively reducing the overhead of fingerprint map calibration.  ...  Of the different branches of indoor localization research, WiFi fingerprinting has drawn significant attention over the past decade.  ...  Despite the low cost on infrastructures, fingerprint-based approaches suffer from periodical onerous fingerprint map calibration caused by environmental changes.  ... 
doi:10.1109/tie.2015.2509917 fatcat:tq3guj6fgjeodjsv2kqspqozei

BearLoc

Kaifei Chen, Siyuan He, Beidi Chen, John Kolb, Randy H. Katz, David E. Culler
2015 Proceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial Systems - IoT-Sys '15  
Our evaluation shows we can reduce developer lines of code by 60% while introducing acceptable network delay overhead.  ...  Figure 7 :Figure 8 : 78 Data of Data Flow Time of WIFI RSS Algorithm CDF of Data Flow Overhead of WiFi RSS Fingerprint-based Localization Figure 9 : 9 CDF of Data Flow Overhead of Acoustic Background  ...  Suppose later there is an improved algorithm that uses n-grams of WiFi RSS as fingerprints [5] .  ... 
doi:10.1145/2753476.2753478 dblp:conf/mobisys/ChenHCKKC15 fatcat:xiqw3ee36bb5vbmg34srmzwaqq

Enhancing wifi-based localization with visual clues

Han Xu, Zheng Yang, Zimu Zhou, Longfei Shangguan, Ke Yi, Yunhao Liu
2015 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15  
Extensive experiments show that Argus triples the localization accuracy of classic RSS-based method, in time no longer than normal WiFi scanning, with negligible energy consumption.  ...  The basic idea of Argus is to extract geometric constraints from crowdsourced photos, and to reduce fingerprint ambiguity by mapping the constraints jointly against the fingerprint space.  ...  Low quality WiFi samples and query photos lead to large localization error.  ... 
doi:10.1145/2750858.2807516 dblp:conf/huc/XuYZSYL15 fatcat:3nwtbc4oifhfrbeawlbdej5dma

ZiFind: Exploiting cross-technology interference signatures for energy-efficient indoor localization

Yuhang Gao, Jianwei Niu, Ruogu Zhou, Guoliang Xing
2013 2013 Proceedings IEEE INFOCOM  
ZiFind utilizes low-power ZigBee interface to collect WiFi interference signals and adopts digital signal processing techniques to extract unique signatures as fingerprints for localization.  ...  A promising approach for indoor localization is to leverage the pervasive WiFi infrastructure via fingerprinting-based inference.  ...  In this work, we exploit the interference of WiFi on low-power technologies such as ZigBee and Bluetooth as a "blessing".  ... 
doi:10.1109/infcom.2013.6567105 dblp:conf/infocom/GaoNZX13 fatcat:rdxqkzflkrbbpkei7lea2cgh24

WiFi assisted multi-WiGig AP coordination for future multi-Gbps WLANs

Ehab Mahmoud Mohamed, Hideyuki Kusano, Kei Sakaguchi, Seiichi Sampei
2015 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)  
To reduce interference to existing WiGig data links while doing BF, a novel location based BF mechanism is also proposed based on WiFi fingerprinting.  ...  The proposed WiGig WLAN is based on a tight coordination between the 5 GHz (WiFi) and the 60 GHz (WiGig) unlicensed frequency bands.  ...  Resp.) frame for measuring its current WiFi fingerprint. Based on the current WiFi fingerprint and offline fingerprint DBs, the APC associates UE to an appropriate un-used AP.  ... 
doi:10.1109/pimrc.2015.7343623 dblp:conf/pimrc/MohamedKSS15 fatcat:kmwrpjwcb5ddtlvudyp3cgqp6i

Geolocalization Techniques using Log Files in Android

T. Ramakrishnaiah, A. Sandeep
2013 International Journal of Computer Applications  
This paper explains the state of art technology of WiFi and Cell Id based positioning and describes some of its applications.  ...  Therefore, constructing the fingerprint for GSM localization can be piggybacked on these systems without extra overhead.  ...  This adds significantly to the overhead of the fingerprint construction process. PROPOSED SYSTEM In this project, proposed the GSM phone localization by sniffing the Cell Ids with more accuracy.  ... 
doi:10.5120/13968-1830 fatcat:g7lpmfctsvgirogq3zdjagfeiu

Laser Range Scanners for Enabling Zero-Overhead WiFi-based Indoor Localization System

Hamada Rizk, Hirozumi Yamaguchi, Moustafa Youssef, Teruo Higashino
2022 ACM Transactions on Spatial Algorithms and Systems  
Towards achieving this goal, WiFi fingerprinting-based indoor localization systems have been proposed.  ...  This paper presents LiPhi++ , an accurate system for enabling fingerprinting-based indoor localization systems without the associated data collection overhead.  ...  Fingerprint Construction Overhead In this section, we quantify the site survey overhead (in terms of time) which is incurred by a typical manual ingerprinting process.  ... 
doi:10.1145/3539659 fatcat:yx4rypww65c3bpstb4nok42ryu

A Survey of Fingerprint-Based Outdoor Localization

Quoc Duy Vo, Pradipta De
2016 IEEE Communications Surveys and Tutorials  
On the other hand, base station based localization has low accuracy.  ...  Signatures, or fingerprints of an area, are hidden cues existing around a user's environment.  ...  achieve both high accuracy and low computational overhead.  ... 
doi:10.1109/comst.2015.2448632 fatcat:3hfburiltfg3vfoek7j7nkx7vy
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