The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Push the limit of WiFi based localization for smartphones
Abstract
Highly accurate indoor localization of smartphones is critical to enable novel location based features for users and businesses. In this paper, we first conduct an empirical investigation of the suitability of WiFi localization for this purpose. We find that although reasonable accuracy can be achieved, significant errors (e.g., $6\sim8m$) always exist. The root cause is the existence of distinct locations with similar signatures, which is a fundamental limit of pure WiFi-based methods. Inspired by high densities of smartphones in public spaces, we propose a peer assisted localization approach to eliminate such large errors. It obtains accurate acoustic ranging estimates among peer phones, then maps their locations jointly against WiFi signature map subjecting to ranging constraints. We devise techniques for fast acoustic ranging among multiple phones and build a prototype. Experiments show that it can reduce the maximum and 80-percentile errors to as small as $2m$ and $1m$, in time no longer than the original WiFi scanning, with negligible impact on battery lifetime.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
The Cricket location-support system
Priyantha, N. B., Chakraborty, A., & Balakrishnan, H. (2000) · Proceedings of the 6th annual international conference on Mobile computing and networking · doi:10.1145/345910.345917 · Cited by 3,716
The Horus WLAN location determination system
Youssef, M., & Agrawala, A. (2005) · Proceedings of the 3rd international conference on Mobile systems, applications, and services · doi:10.1145/1067170.1067193 · Cited by 1,653
Zhang, L., Tiwana, B., Qian, Z., Wang, Z., Dick, R. P., Mao, Z. M., & Yang, L. (2010) · Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis · doi:10.1145/1878961.1878982 · Cited by 1,122
The anatomy of a context-aware application
Harter, A., Hopper, A., Steggles, P., Ward, A., & Webster, P. (1999) · Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking · doi:10.1145/313451.313476 · Cited by 1,107
Indoor localization without the pain
Chintalapudi, K., Padmanabha Iyer, A., & Padmanabhan, V. N. (2010) · Proceedings of the sixteenth annual international conference on Mobile computing and networking · doi:10.1145/1859995.1860016 · Cited by 962
SurroundSense: mobile phone localization via ambience fingerprinting
Azizyan, M., Constandache, I., & Roy Choudhury, R. (2009) · Proceedings of the 15th annual international conference on Mobile computing and networking · doi:10.1145/1614320.1614350 · Cited by 723
Enhancements to the RADAR User Location and Tracking System
Bahl, V., & Padmanabhan, V. (2000) · Cited by 507
BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices
Peng, C., Shen, G., Zhang, Y., Li, Y., & Tan, K. (2007) · Proceedings of the 5th international conference on Embedded networked sensor systems · doi:10.1145/1322263.1322265 · Cited by 473
Hearing: An Introduction to Psychological and Physiological Acoustics
Gelfand, S. A. (1981) · Thammasat University Digital Collections · Cited by 337
Cited by
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
He, S., & Chan, S.-H. G. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2464084 · Cited by 1,355
E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures
Wang, Y., Liu, J., Chen, Y., Gruteser, M., Yang, J., & Liu, H. (2014) · Proceedings of the 20th annual international conference on Mobile computing and networking · doi:10.1145/2639108.2639143 · Cited by 817
Self-citationMillimeter wave communication: a comprehensive survey
Wang, X., Kong, L., Kong, F., Qiu, F., Xia, M., Arnon, S., & Chen, G. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2844322 · Cited by 656
Precise Power Delay Profiling with Commodity WiFi
Xie, Y., Li, Z., & Li, M. (2015) · Proceedings of the 21st Annual International Conference on Mobile Computing and Networking · doi:10.1145/2789168.2790124 · Cited by 600
Accurate indoor localization with zero start-up cost
Kumar, S., Gil, S., Katabi, D., & Rus, D. (2014) · Proceedings of the 20th annual international conference on Mobile computing and networking · doi:10.1145/2639108.2639142 · Cited by 386
Metadata
- Authors
- Liu, H., Gan, Y., Yang, J., Sidhom, S., Wang, Y., Chen, Y., & Ye, F.
- Venue
- Proceedings of the 18th annual international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2012-08-22
- Pages
- 305-316
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2114254062
- Cited by
- 414
- References
- 26
- FWCI
- 50.77
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Push the limit of WiFi based localization for smartphones. https://app.cochat.ai/papers/10.1145/2348543.2348581
- The paper
- Liu, H., Gan, Y., Yang, J., Sidhom, S., Wang, Y., Chen, Y., & Ye, F. (2012). Push the limit of WiFi based localization for smartphones. Proceedings of the 18th annual international conference on Mobile computing and networking. https://doi.org/10.1145/2348543.2348581
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
