Energy and Security-Aware Data Transmission in IoT: An Optimal Cluster Head Selection Approach with Spiral Chip Dynamics Optimizer (SCDO)
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-10949-z.pdf
Reference24 articles.
1. Zhang, Y., & Wang, Y. (2020). A novel energy-aware bio-inspired clustering scheme for IoT communication. Journal of Ambient Intelligence and Humanized Computing, 11(10), 4239–4248.
2. Pingale, R. P., & Shinde, S. N. (2021). Multi-objective sunflower based grey wolf optimization algorithm for multipath routing in IoT network. Wireless Personal Communications, 117(3), 1909–1930.
3. Nandan, A. S., Singh, S., & Awasthi, L. K. (2021). An efficient cluster head election based on optimized genetic algorithm for movable sinks in IoT enabled HWSNs. Applied Soft Computing, 107, 107318.
4. Hriez, S., Almajali, S., Elgala, H., Ayyash, M., & Salameh, H. B. (2021). A novel trust-aware and energy-aware clustering method that uses stochastic fractal search in IoT-enabled wireless sensor networks. IEEE Systems Journal, 16, 2693–2704.
5. Sangaiah, A. K., Medhane, D. V., Bian, G. B., Ghoneim, A., Alrashoud, M., & Hossain, M. S. (2019). Energy-aware green adversary model for cyberphysical security in industrial system. IEEE Transactions on Industrial Informatics, 16(5), 3322–3329.
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