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WSNs node localization algorithm based on multi-hop distance vector and error correction

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Abstract

Wireless sensor networks (WSNs) have broad application prospects in various industries, and node localization technology is the foundation of WSN applications. Recently, many range-free node localization algorithms have been proposed, but most of them suffer from low accuracy. In order to improve the localization accuracy, in this paper we proposed the node localization algorithm based on multi-hop distance vector and error correction (MDV-EC). In terms of distance estimation, firstly the MDV-EC algorithm calculates the neighbor distance according to node neighbor relationship, then estimates the distance between unknown node and anchor node in multi-hop manner, and finally calibrates the distance refer to distance correction coefficient. In view of similarity of localization errors of nodes in similar regions, an error correction scheme is also investigated, which corrects the node initial estimated locations of nodes refer to the localization error vector of nearby anchor node. Simulation results show that our proposed MDV-EC has better performance than the other two algorithms in terms of node localization accuracy, and the error correction scheme can effectively reduce the localization errors.

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References

  1. Praveen Kumar, D., Amgoth, T., & Annavarapu, C. S. R. (2019). Machine learning algorithms for wireless sensor networks: A survey. Information Fusion, 49, 1–25. https://doi.org/10.1016/j.inffus.2018.09.013

    Article  Google Scholar 

  2. Zhang, K., Zhang, G., Yu, X., Hu, S., & Li, M. (2022). Clustering the sensor networks based on energy-aware affinity propagation. Computer Networks. https://doi.org/10.1016/j.comnet.2022.108853

    Article  Google Scholar 

  3. Osamy, W., Khedr, A. M., Salim, A., Ali, A. I. A., & El-Sawy, A. A. (2022). Coverage, deployment and localization challenges in wireless sensor networks based on artificial intelligence techniques: A review. IEEE Access, 10, 30232–30257. https://doi.org/10.1109/access.2022.3156729

    Article  Google Scholar 

  4. Liu, X., Han, F., Ji, W., Liu, Y., & Xie, Y. (2020). A novel range-free localization scheme based on anchor pairs condition decision in wireless sensor networks. IEEE Transactions on Communications, 68(12), 7882–7895. https://doi.org/10.1109/tcomm.2020.3020553

    Article  Google Scholar 

  5. Kumar, P., Chaturvedi, A., & Kulkarni, M. (2012). Geographical location based hierarchical routing strategy for wireless sensor networks. In International Conference on Devices. IEEE.

  6. Liu, J., Wang, Z., Yao, M., & Qiu, Z. (2015). VN-APIT: Virtual nodes-based range-free APIT localization scheme for WSN. Wireless Networks, 22(3), 867–878. https://doi.org/10.1007/s11276-015-1007-z

    Article  Google Scholar 

  7. Luomala, J., & Hakala, I. (2019). Analysis and evaluation of adaptive RSSI-based ranging in outdoor wireless sensor networks. Ad Hoc Networks, 87, 100–112. https://doi.org/10.1016/j.adhoc.2018.10.004

    Article  Google Scholar 

  8. Zhang, H., Wang, Z., & Gulliver, T. A. (2017). Two-stage weighted centroid localization for large-scale wireless sensor networks in ambient intelligence environment. Journal of Ambient Intelligence and Humanized Computing, 9(3), 617–627. https://doi.org/10.1007/s12652-017-0458-8

    Article  Google Scholar 

  9. Nemer, I., Sheltami, T., Shakshuki, E., Elkhail, A. A., & Adam, M. (2020). Performance evaluation of range-free localization algorithms for wireless sensor networks. Personal and Ubiquitous Computing, 25(1), 177–203. https://doi.org/10.1007/s00779-020-01370-x

    Article  Google Scholar 

  10. Niculescu, D., & Nath, B. (2003). DV based positioning in Ad hoc networks. Telecommunication Systems, 22, 267–280. https://doi.org/10.1023/A:1023403323460

    Article  Google Scholar 

  11. Shahzad, F., Sheltami, T. R., & Shakshuki, E. M. (2017). DV-maxHop: A fast and accurate range-free localization algorithm for anisotropic wireless networks. IEEE Transactions on Mobile Computing, 16, 2494–2505.

    Article  Google Scholar 

  12. Huang, X. (2020). Multi-node topology location model of smart city based on Internet of Things. Computer Communications, 152, 282–295. https://doi.org/10.1016/j.comcom.2020.01.052

    Article  Google Scholar 

  13. Liu, G., Qian, Z., & Wang, X. (2019). An improved DV-hop localization algorithm based on hop distances correction. China Communications, 16(6), 200–214.

    Article  Google Scholar 

  14. Cao, Y., & Wang, Z. (2019). Improved DV-hop localization algorithm based on dynamic anchor node set for wireless sensor networks. IEEE Access, 7, 124876–124890. https://doi.org/10.1109/access.2019.2938558

    Article  Google Scholar 

  15. Chen, T., Hou, S., & Sun, L. (2022). An enhanced DV-hop positioning scheme based on spring model and reliable beacon node set. Computer Networks. https://doi.org/10.1016/j.comnet.2022.108926

    Article  Google Scholar 

  16. Zhang, K., Zhang, G., Yu, X., & Hu, S. (2021). Boundary-based anchor selection method for wsns node localization. Arabian Journal for Science and Engineering, 46(4), 3779–3792. https://doi.org/10.1007/s13369-020-05286-9

    Article  Google Scholar 

  17. Han, D., Yu, Y., Li, K. C., & de Mello, R. F. (2020). Enhancing the sensor node localization algorithm based on improved DV-hop and DE algorithms in wireless sensor networks. Sensors (Basel). https://doi.org/10.3390/s20020343

    Article  Google Scholar 

  18. Singh, P., Mittal, N., & Singh, P. (2022). A novel hybrid range-free approach to locate sensor nodes in 3D WSN using GWO-FA algorithm. Telecommunication Systems. https://doi.org/10.1007/s11235-022-00888-0

    Article  Google Scholar 

  19. Yang, J., Cai, Y., Tang, D., & Liu, Z. (2019). A novel centralized range-free static node localization algorithm with memetic algorithm and levy flight. Sensors (Basel). https://doi.org/10.3390/s19143242

    Article  Google Scholar 

  20. Cui, H., Liang, Y., Zhou, C., & Cao, N. (2018). Localization of large-scale wireless sensor networks using niching particle swarm optimization and reliable anchor selection. Wireless Communications and Mobile Computing, 2018, 1–18. https://doi.org/10.1155/2018/2473875

    Article  Google Scholar 

  21. Wang, Y., Wang, X., Wang, D., & Agrawal, D. P. (2009). Range-free localization using expected hop progress in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20, 1540–1552. https://doi.org/10.1109/TPDS.2008.239

    Article  Google Scholar 

  22. Wu, G., Wang, S., Wang, B., Dong, Y., & Yan, S. (2012). A novel range-free localization based on regulated neighborhood distance for wireless ad hoc and sensor networks. Computer Networks, 56(16), 3581–3593. https://doi.org/10.1016/j.comnet.2012.07.007

    Article  Google Scholar 

  23. Yun, W., Xiaodong, W., Demin, W., & Agrawal, D. P. (2009). Range-free localization using expected hop progress in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20(10), 1540–1552. https://doi.org/10.1109/tpds.2008.239

    Article  Google Scholar 

  24. Wen, W., Wen, X., Yuan, L., & Xu, H. (2018). (2018) Range-free localization using expected hop progress in anisotropic wireless sensor networks. EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1186/s13638-018-1326-8

    Article  Google Scholar 

  25. Zaidi, S., El Assaf, A., Affes, S., & Kandil, N. (2016). Accurate range-free localization in multi-hop wireless sensor networks. IEEE Transactions on Communications, 64, 3886–3900. https://doi.org/10.1109/TCOMM.2016.2590436

    Article  Google Scholar 

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Acknowledgements

This work was supported by the Key Research and Development Projects of Hunan Province (2018SK2055); Ministry of Emergency Management of the People’s Republic of China Key Technologies for Safety Production and Major Accidents Prevention and Control (Hunan-0001-2018AQ); Hunan Provincial Natural Science Foundation of China (2021JJ50093).

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Authors and Affiliations

  1. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, 430070, China

    Ke Zhang, Guang Zhang, Shaohua Hu & Youcui Yuan

  2. School of Resource and Environment and Safety Engineering, University of South China, Hengyang, 421001, China

    Xiuwu Yu

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  1. Ke Zhang
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Correspondence to Xiuwu Yu.

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Zhang, K., Zhang, G., Yu, X. et al. WSNs node localization algorithm based on multi-hop distance vector and error correction. Telecommun Syst 81, 461–474 (2022). https://doi.org/10.1007/s11235-022-00952-9

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