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Localization for Underwater Sensor Networks Based on a Mobile Beacon

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Wireless Algorithms, Systems, and Applications (WASA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13473))

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Abstract

In Underwater Sensor Networks (UWSNs), the location information of sensor nodes is essential for making the measured data meaningful. However, UWSNs have a complex node deployment environment. Node mobility caused by ocean currents and other factors would lead to a bigger ranging error and make some nodes cannot receive enough data packets. In this paper, a Localization algorithm based on a Single Mobile Beacon (LSMB) is proposed. LSMB makes use of the attenuation law of signal strength and the geometric relationship between a sensor node and the path of the mobile beacon, reducing the impact of random error on distance measurement. On this basis, by analyzing the overall movement trends of sensor nodes, this paper analyzes and studies the counter-current movement and downstream movement of the mobile beacon respectively, so as to make LSMB suitable for dynamic marine environment. The simulation shows that the algorithm reduces the impact of node mobility on localization and has small average localization error.

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References

  1. Su, Y., Guo, L., Jin, Z., Fu, X.: A mobile-beacon-based iterative localization mechanism in large-scale underwater acoustic sensor networks. IEEE Internet Things J. 8(5), 3653–3664 (2021). https://doi.org/10.1109/JIOT.2020.3023556

    Article  Google Scholar 

  2. Ullah, I.: A review of underwater localization techniques, algorithms, and challenges. J. Sens. 2020 (2020). https://doi.org/10.1155/2020/6403161

  3. Yan, J., Meng, Y., Yang, X., Luo, X., Guan, X.: Privacy-preserving localization for underwater sensor networks via deep reinforcement learning. IEEE Trans. Inf. Forensics Secur. 16, 1880–1895 (2021). https://doi.org/10.1109/TIFS.2020.3045320

    Article  Google Scholar 

  4. Mridula, K., Ameer, P.: Localization under anchor node uncertainty for underwater acoustic sensor networks. Int. J. Commun. Syst. 31, e3445 (2017). https://doi.org/10.1002/dac.3445

    Article  Google Scholar 

  5. Karagol, S., Yildiz, D.: A path planning model based on nested regular hexagons using weighted centroid localization. Int. J. Commun. Syst. 35(1), e5015 (2022). https://doi.org/10.1002/dac.5015

    Article  Google Scholar 

  6. Huang, H., Zheng, Y.R.: Node localization with AOA assistance in multi-hop underwater sensor networks. Ad Hoc Netw. 78, 32–41 (2018). https://doi.org/10.1016/j.adhoc.2018.05.005

    Article  Google Scholar 

  7. Luo, J., Yang, Y., Wang, Z., Chen, Y.: Localization algorithm for underwater sensor network: a review. IEEE Internet Things J. 8(17), 13126–13144 (2021). https://doi.org/10.1109/JIOT.2021.3081918

    Article  Google Scholar 

  8. Osborn, J., Qualls, S., Canning, J., Anderson, M., Edwards, D., Wolbrecht, E.: AUV state estimation and navigation to compensate for ocean currents. In: OCEANS 2015 - MTS/IEEE Washington, pp. 1–5 (2015). https://doi.org/10.23919/OCEANS.2015.7401906

  9. Bhairavi, R., Sudha, G.F.: Modified dive and rise technique incorporating enhanced weighted centroid localization algorithm with ocean current mobility model in underwater acoustic sensor networks. In: Ranganathan, G., Chen, J., Rocha, Á. (eds.) Inventive Communication and Computational Technologies. LNNS, vol. 89, pp. 569–582. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-0146-3_54

    Chapter  Google Scholar 

  10. Koutsonikolas, D., Das, S.M., Hu, Y.C.: Path planning of mobile landmarks for localization in wireless sensor networks. Comput. Commun. 30(13), 2577–2592 (2007). https://doi.org/10.1016/j.comcom.2007.05.048

    Article  Google Scholar 

  11. Beerens, S., Ridderinkhof, H., Zimmerman, J.: An analytical study of chaotic stirring in tidal areas. Chaos Solitons Fractals 4(6), 1011–1029 (1994). https://doi.org/10.1016/0960-0779(94)90136-8

    Article  MATH  Google Scholar 

  12. Caruso, A., Paparella, F., Vieira, L.F.M., Erol, M., Gerla, M.: The meandering current mobility model and its impact on underwater mobile sensor networks. In: IEEE INFOCOM 2008 - The 27th Conference on Computer Communications, pp. 221–225 (2008). https://doi.org/10.1109/INFOCOM.2008.53

  13. Sun, Y., Yuan, Y., Xu, Q., Hua, C.: A mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks. Sensors 19, 4369 (2019). https://doi.org/10.3390/s19204369

    Article  Google Scholar 

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Acknowledgement

This work was supported by Natural Science Foundation of Shandong Province (No. ZR2020MF061).

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Correspondence to Ying Guo .

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Guo, Y., Niu, L., Zhang, R., Cao, H., Xu, J. (2022). Localization for Underwater Sensor Networks Based on a Mobile Beacon. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473. Springer, Cham. https://doi.org/10.1007/978-3-031-19211-1_20

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  • DOI: https://doi.org/10.1007/978-3-031-19211-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19210-4

  • Online ISBN: 978-3-031-19211-1

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