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Low-cost Device-Free Localization using Detection Probability Model in Outdoors

Published: 01 November 2015 Publication History

Abstract

Wireless localization technology has become more and more important in our life. Many applications would benefit from such device-free localization, e.g. intruder detection, privacy-enhanced monitoring, etc. This paper presents a system, named Pilm, for localizing a moving target based on the detection probability model. It aims to enable a device-free localization technology in the outdoors that is low-cost, compact and strong theoretical supported. In traditional devicefree methods, the transceiver collects a large number of the received signal strength (RSS) changing distorted by target, which is high cost for resource-constraint networks, such as wireless sensor networks (WSNs). Unlink past works, which need to process the RSS values from each communication link of networks during the localization, our design exploits the minimum number of links to detect and localize a moving target. We evaluate its performance through real-world deployment and simulation experiments. Empirical measurements with a prototype show that Pilm can use the minimum number of links to localize a moving target with low energy consumption.

References

[1]
Jue Wang and Dina Katabi. Dude, where's my card? Rfid positioning that works with multipath and non-line of sight. In Proc. of ACM SIGCOMM, 2013.
[2]
Joey Wilson and Neal Patwari. See-through walls: Motion tracking using variance-based radio tomography networks. IEEE Transactions on Mobile Computing, 10(5):612--621, 2011.
[3]
Chengbin Zeng, Huadong Ma and Anlong Ming. A coverage-enhancing method for 3d directional sensor networks. In Proc. of IEEE INFOCOM, 2009, 2791--2795.

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  1. Low-cost Device-Free Localization using Detection Probability Model in Outdoors

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    cover image ACM Conferences
    ENSsys '15: Proceedings of the 3rd International Workshop on Energy Harvesting & Energy Neutral Sensing Systems
    November 2015
    46 pages
    ISBN:9781450338370
    DOI:10.1145/2820645
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 01 November 2015

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    Author Tags

    1. detection probability
    2. device-free localization
    3. low-cost
    4. outdoors

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    Funding Sources

    • Project National Key Technology R&D Program
    • China NSFC Grants

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    Overall Acceptance Rate 21 of 29 submissions, 72%

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