K-Means clustering of optimized wireless network sensor using genetic algorithm
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P. Nayak, K. Kavitha and N. Khan, "Cluster Head Selection in Wireless Sensor Network Using Bio-Inspired Algorithm," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019, pp. 1690-1696, doi: 10.1109/TENCON.2019.8929440.
A. P. C. a. H. B. W. B. Heinzelman, "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, Oct. 2002, doi: 10.1109/TWC.2002.804190.
Y. Cao, J. Liu and Z. Xu, "A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks," 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 1856-1863, doi: 10.1109/CEC45853.2021.9504883.
M. Anoop and P. Sripriya, "Ensembled Adaptive Fuzzy K-Means With Stochastic Extreme Gradient Boost Big Data Clustering on Geo-Social Networks," 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2021, pp. 498-502, doi: 10.1109/ICACITE51222.2021.9404574.
Z. Qu, C. Liu and H. Liu, "Deep neural network localization algorithm based on GA optimization K-means," 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2021, pp. 1065-1069, doi: 10.1109/AEECA52519.2021.9574133.
K.-L. Wu and M.-S. Yang, "Alternative c-means clustering algorithms," Pattern recognition, vol. 35, no. 10, pp. 2267-2278, 2002.
B. K. Khotimah, F. Irhamni, and T. Sundarwati, "A Genetic algorithm for optimized initial centers K-means clustering in SMEs," Journal of Theoretical and Applied Information Technology, vol. 90, no. 1, p. 23, 2016.
M. Feng and Z. Wang, "A genetic k-means clustering algorithm based on the optimized initial centers," Computer and information science, vol. 4, no. 3, p. 88, 2011.
B. Ghimire, A. Mahmood and K. Elleithy, "Hybrid Quantum Approximate Optimization Using Enhanced Ant Colony Optimization to Solve Large-Scale Combinatorial Optimization Problems," 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2021, pp. 108-113, doi: 10.1109/ISCMI53840.2021.9654824.
M. N. Iqbal, Muhammad; Anpalagan, Alagan; Ahmed, Ashfaq; Azam, Muhammad, "Wireless Sensor Network Optimization: Multi-Objective Paradigm," Journal contribution, 2015, doi: https://doi.org/10.32920/14640045.v1.
S. Sen, S. Narasimhan, and K. Deb, "Sensor network design of linear processes using genetic algorithms," Computers & chemical engineering, vol. 22, no. 3, pp. 385-390, 1998.
M. Al-Obaidy, A. Ayesh, and A. F. Sheta, "Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms," Artificial Intelligence Review, vol. 29, no. 3, pp. 183-194, 2008.
K. P. Ferentinos and T. A. Tsiligiridis, "Adaptive design optimization of wireless sensor networks using genetic algorithms," Computer Networks, vol. 51, no. 4, pp. 1031-1051, 2007.
M. Iqbal, M. Naeem, A. Anpalagan, A. Ahmed, and M. Azam, "Wireless sensor network optimization: Multi-objective paradigm," Sensors, vol. 15, no. 7, pp. 17572-17620, 2015.
"What is a Genetic Algorithm?, ." [Online]. Available: https://www.generativedesign.org/02-deeper-dive/02-04_genetic-algorithms/02-04-01_what-is-a-genetic-algorithm.
A. Pugazhenthi and L. S. Kumar, "Selection of Optimal Number of Clusters and Centroids for K-means and Fuzzy C-means Clustering: A Review," 2020 5th International Conference on Computing, Communication and Security (ICCCS), 2020, pp. 1-4, doi: 10.1109/ICCCS49678.2020.9276978.
""Analogy between a numerical GA and biological genetics", ." [Online]. Available: https://www.semanticscholar.org/paper/The-Binary-Genetic-Algorithm-Haupt-Haupt/fae177cd739db7d386ab655b3481bc5c33202742/figure/0.
H. Z. M. B. M. E. H. A. AjithAbraham, "An improved dynamic deployment technique based‑on genetic algorithm (IDDT‑GA) formaximizing coverage inwireless sensor networks," Vol.:(0123456789)1 3Journal of Ambient Intelligence and Humanized Computing, 14 January 2020, doi: org/10.1007/s12652-020-01698-5.
K. P. Sinaga, I. Hussain and M. -S. Yang, "Entropy K-Means Clustering With Feature Reduction Under Unknown Number of Clusters," in IEEE Access, vol. 9, pp. 67736-67751, 2021, doi: 10.1109/ACCESS.2021.3077622.
DOI: http://dx.doi.org/10.21533/pen.v10i3.3059
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Copyright (c) 2022 Azhar M. Kadim, Farah Saad Al-Mukhtar, Najwan Abed Hasan, Aseel B. Alnajjar, Mohammed Sahib Mahdi Altaei
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ISSN: 2303-4521
Digital Object Identifier DOI: 10.21533/pen
This work is licensed under a Creative Commons Attribution 4.0 International License