Range Free Localization for Three Dimensional Wireless Sensor Networks Using Multi Objective Particle Swarm Optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-020-07902-1.pdf
Reference24 articles.
1. Cortez-González, J., Ruiz-Ibarra, E., Espinoza-Ruiz, A., Castro, L. A., & Mass-Sanchez, J. (2016). Weighted hyperbolic DV-hop positioning node localization algorithm in WSNs. Wireless Personal Communications, 96(4), 5011–5033. https://doi.org/10.1007/s11277-016-3727-5.
2. Gao, W., Ge, Y., Wang, S., Li, Y., Lou, K., Jiang, M., et al. (2017). Improved DV-Hop Localization Algorithm Based on Anchor Weight and Distance Compensation in Wireless Sensor Network. International Journal of Signal Processing, Image Processing and Pattern Recognition, 9(12), 167–176. https://doi.org/10.14257/ijsip.2016.9.12.16.
3. Gui, L., Zhang, X., Ding, Q., Shu, F., & Wei, A. (2017). Reference anchor selection and global optimized solution for DV-hop localization in wireless sensor Networks. Wireless Personal Communications, 96(4), 5995–6005. https://doi.org/10.1007/s11277-017-4459-x.
4. Gupta, V., & Singh, B. (2018). Study of range free centroid based localization algorithm and its improvement using particle swarm optimization for wireless sensor networks under log normal shadowing. International Journal of Information Technology, 1, 1. https://doi.org/10.1007/s41870-018-0201-5.
5. Kanwar, V., & Kumar, A. (2020a). DV-Hop-based range-free localization algorithm for wireless sensor network using runner-root optimization. Journal of Supercomputing, 1, 0123456789. https://doi.org/10.1007/s11227-020-03385-w.
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