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International Conference on Geo-Spatial Knowledge and Intelligence

GSKI 2017: Geo-Spatial Knowledge and Intelligence pp 188–197Cite as

Mobile Device Selection Based on Doppler Shift with High Resolution

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

Abstract

For traditional mobile device selection, the source device needs to know the device ID of the target device in advance for interaction, which is not friendly for users. In this paper, a device selection scheme based on Doppler shift with high resolution is proposed. User who holds the source device makes a pointing action towards the target device, while the source device emits ultrasonic wave. According to Doppler Effect, the neighboring devices of the source device will return the device ID and Doppler frequency shifts, and the source device selects the device with the maximum frequency shift as the target device. When there are 2 or more devices with the same frequency shift, more accurate frequency differences between these devices are calculated by cross ambiguity function, in order to decide the target device with unique maximum Doppler frequency shift. Simulation results show that CAF-DS achieves higher device selection accuracy than Spartacus.

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Acknowledgments

This work is supported in part by National Science Foundation of China under Grants numbers, 61370204 and Zhejiang Provincial Natural Science Foundation under Grant number LQ16F02001.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou, 310018, Zhejiang, People’s Republic of China

    Lingfei Yu

  2. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, People’s Republic of China

    Xixi Chang

Authors
  1. Lingfei Yu
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  2. Xixi Chang
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Corresponding author

Correspondence to Lingfei Yu .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Yu, L., Chang, X. (2018). Mobile Device Selection Based on Doppler Shift with High Resolution. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_20

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  • DOI: https://doi.org/10.1007/978-981-13-0893-2_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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