A Novel Efficient Heuristic Based Localization Paradigm in Wireless Sensor Network
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/s11277-021-08091-1.pdf
Reference27 articles.
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2. Ren, Q., Zhang, Y., Nikolaidis, I., Li, J., & Pan, Y. (2020). RSSI quantization and genetic algorithm based localization in wireless sensor networks. Ad Hoc Networks, 107, 102255. https://doi.org/10.1016/j.adhoc.2020.102255.
3. Dai, Z., Wang, G., Jin, X., & Lou, X. (2020). Nearly optimal sensor selection for TDOA-based source localization in wireless sensor networks. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2020.3011118.
4. Xu, H. (2020). Semi-supervised manifold learning based on polynomial mapping for localization in wireless sensor networks. Signal Processing. https://doi.org/10.1016/j.sigpro.2020.107570.
5. Goyat, R., Kumar, G., Rai, M. K., Saha, R., Thomas, R., et al. (2020). Blockchain powered secure range-free localization in wireless sensor networks. Arabian Journal for Science and Engineering, 45(8), 6139–6155. https://doi.org/10.1007/s13369-020-04493-8.
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