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E-loc: indoor localization through building electric wiring: poster abstract

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Lin ZhangAuthors Info & Claims

IPSN '17: Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks

Pages 311 - 312

https://doi.org/10.1145/3055031.3055064

Published: 18 April 2017 Publication History

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Abstract

E-Loc is an indoor localization system, which, through using existing indoor electric wiring, detects occupants' location. While many indoor localization technologies require intensive infrastructural supports, E-Loc obtain locations by injecting a signal into the protected earth line of existing residential power network. Caused by human body inside a room, the electromagnetic character changes can be detected to deduce a resident's location. We evaluate our system through experiments inside multiple rooms and our system is able to reach meter-level accuracy.

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Cited By

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Li JGe CXu CGong JGui WZhang CLiang XDing WGanesan DLane NShi W(2024)VLocSense: Integrated VLC System for Indoor Passive Localization and Human SensingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694729(2022-2027)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3694729
Lovisolo LCruz-Roldán FBlanco-Velasco M(2022)On Power Line Positioning SystemsSensors10.3390/s2220782722:20(7827)Online publication date: 14-Oct-2022
https://doi.org/10.3390/s22207827
Zhou TZhang L(2021)Detecting Human-Induced Changes in Powerline SignalsProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458786(406-407)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3412382.3458786
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E-loc: indoor localization through building electric wiring: poster abstract

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Information & Contributors

Information

Published In

IPSN '17: Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks

April 2017

333 pages

ISBN:9781450348904

DOI:10.1145/3055031

General Chair:
Pei Zhang
Carnegie Mellon University
,
Program Chairs:
Prabal Dutta
University of California, Berkeley
,
Guoliang Xing
Michigan State University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Short-paper

Funding Sources

Shenzhen Municipal Development and Reform Commission, Shenzhen Engineering Laboratory for Data Science and Information Technology

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IPSN '17

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SIGBED

IPSN '17: The 16th International Conference on Information Processing in Sensor Networks

April 18 - 20, 2017

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

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Li JGe CXu CGong JGui WZhang CLiang XDing WGanesan DLane NShi W(2024)VLocSense: Integrated VLC System for Indoor Passive Localization and Human SensingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694729(2022-2027)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3694729
Lovisolo LCruz-Roldán FBlanco-Velasco M(2022)On Power Line Positioning SystemsSensors10.3390/s2220782722:20(7827)Online publication date: 14-Oct-2022
https://doi.org/10.3390/s22207827
Zhou TZhang L(2021)Detecting Human-Induced Changes in Powerline SignalsProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458786(406-407)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3412382.3458786
Alam FFaulkner NParr B(2021)Device-Free Localization: A Review of Non-RF Techniques for Unobtrusive Indoor PositioningIEEE Internet of Things Journal10.1109/JIOT.2020.30301748:6(4228-4249)Online publication date: 15-Mar-2021
https://doi.org/10.1109/JIOT.2020.3030174

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