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5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

Node Localization Based on Multiple Radio Transmission Power Levels for Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_3,
        author={Yikang Xing and Wei Huangfu and Xiaoming Dai and Xiaoyan Hu},
        title={Node Localization Based on Multiple Radio Transmission Power Levels for Wireless Sensor Networks},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={
            ode localization Range-free Wireless sensor networks Virtual force field Multiscale virtual forces},
        doi={10.1007/978-3-319-72823-0_3}
    }
    
  • Yikang Xing
    Wei Huangfu
    Xiaoming Dai
    Xiaoyan Hu
    Year: 2018
    Node Localization Based on Multiple Radio Transmission Power Levels for Wireless Sensor Networks
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_3
Yikang Xing, Wei Huangfu,*, Xiaoming Dai, Xiaoyan Hu1
  • 1: China Mobile Group Design Institute Co., Ltd.
*Contact email: huangfuwei@ustb.edu.cn

Abstract

The range-free node localization techniques are attractive in wireless sensor networks. However, only based on the connectivity information, the range-free schemes are usually not accurate. The transmission radio power of the sensor nodes is often adjustable and multiple levels of the transmission power correspond to multiple levels of the communication radius. Thus an improved range-free node localization algorithm inspired by multiscale virtual forces is proposed, which adopts multiscale connectivity information. The simulation results showed that the proposed approach performs well in various scenario and the localization accuracy is improved.

Keywords
ode localization Range-free Wireless sensor networks Virtual force field Multiscale virtual forces
Published
2018-01-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-72823-0_3
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