[1] Arjunan, S., & Pothula, S. (2019). A survey on unequal clustering protocols in wireless sensor net- works. Journal of King Saud University-Computer and Information Sciences, 31(3), 304-317.
[2] Mirjalili, S. (2015). Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-based systems, 89, 228-249.
[3] Shokouhifar, M., & Hassanzadeh, A. (2014). An energy efficient routing protocol in wireless sensor networks using genetic algorithm. Advances in Environmental Biology, 8(21), 86-93.
[4] Xiuwu, Y., Qin, L., Yong, L., Mufang, H., Ke, Z., & Renrong, X. (2019). Uneven clustering routing algorithm based on glowworm swarm optimization. Ad Hoc Networks, 93, 101923.
[5] Rawat, P., & Chauhan, S. (2018, April). Energy efficient clustering in heterogeneous environment. In 2018 Second International Conference on Inventive Communication and Computational Technolo- gies (ICICCT) (pp. 388-392). IEEE.
[6] Massad, Y. E., Goyeneche, M., Astrain, J. J., & Villadangos, J. (2008, April). Data aggregation in wireless sensor networks. In 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications (pp. 1-6). IEEE.
[7] Mansour, R. F., Alsuhibany, S. A., Abdel-Khalek, S., Alharbi, R., Vaiyapuri, T., Obaid, A. J., & Gupta, D. (2022). Energy aware fault tolerant clustering with routing protocol for improved surviv- ability in wireless sensor networks. Computer Networks, 212, 109049.
[8] Yadav, R. K., & Mahapatra, R. P. (2021). Energy aware optimized clustering for hierarchical routing in wireless sensor network. Computer Science Review, 41, 100417.
[9] Arafath, M. S., Khan, K. U. R., & Sunitha, K. V. N. (2017, December). Pithy review on routing protocols in wireless sensor networks and least routing time opportunistic technique in WSN. In Journal of Physics: Conference Series (Vol. 933, No. 1, p. 012016). IOP Publishing.
[10] Gorgich, S., & Tabatabaei, S. (2021). Proposing an energy-aware routing protocol by using fish swarm optimization algorithm in WSN (wireless sensor networks). Wireless Personal Communica- tions, 119(3), 1935-1955.
[11] Tabatabaei, S., & Rigi, A. M. (2019). Reliable routing algorithm based on clustering and mobile sink in wireless sensor networks. Wireless Personal Communications, 108(4), 2541-2558.
[12] Yu, J., Qi, Y., Wang, G., & Gu, X. (2012). A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution. AEU-International Journal of Electronics and Commu- nications, 66(1), 54-61.
[13] Sabet, M., & Naji, H. R. (2015). A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks. AEU-International Journal of Electronics and Communica- tions, 69(5), 790-799.
[14] Xiao, G., Sun, N., Lv, L., Ma, J., & Chen, Y. (2015). An HEED-based study of cell-clustered al- gorithm in wireless sensor network for energy efficiency. Wireless Personal Communications, 81, 373-386.
[15] Shokouhifar, M., & Jalali, A. (2015). A new evolutionary based application specific routing protocol for clustered wireless sensor networks. AEU-International Journal of Electronics and Communica- tions, 69(1), 432-441.
[16] Chanak, P., Banerjee, I., & Sherratt, R. S. (2017). Energy-aware distributed routing algorithm to tolerate network failure in wireless sensor networks. Ad Hoc Networks, 56, 158-172.
[17] Myoupo, J. F., Nana, B. P., & Tchendji, V. K. (2018). Fault-tolerant and energy-efficient routing pro- tocols for a virtual three-dimensional wireless sensor network. Computers & Electrical Engineering, 72, 949-964.
[18] Tabatabaei, S., Rajaei, A., & Rigi, A. M. (2019). A novel energy-aware clustering method via Lion Pride Optimizer Algorithm (LPO) and fuzzy logic in wireless sensor networks (WSNs). Wireless Personal Communications, 108, 1803-1825.
[19] Chen, D. R., Chen, L. C., Chen, M. Y., & Hsu, M. Y. (2019). A coverage-aware and energy-efficient protocol for the distributed wireless sensor networks. Computer Communications, 137, 15-31.
[20] Allahverdi Mamaghani, A., Ebrahimi Dishabi, M. R., Tabatabaei, S., & Abdollahi Azgomi, M. (2021). A novel clustering protocol based on willow butterfly algorithm for diffusing data in wireless sensor networks. Wireless Personal Communications, 121(4), 3425-3450.
[21] Le-Ngoc, K. K., Tho, Q. T., Bui, T. H., Rahmani, A. M., & Hosseinzadeh, M. (2022). Optimized fuzzy clustering in wireless sensor networks using improved squirrel search algorithm. Fuzzy Sets and Systems, 438, 121-147.
[22] Prasad, V., & Roopashree, H. R. (2024). Energy aware and secure routing for hierarchical cluster through trust evaluation. Measurement: Sensors, 33, 101132.
[23] Sharma, R., Vashisht, V., & Singh, U. (2022). Fuzzy modelling based energy aware clustering in wireless sensor networks using modified invasive weed optimization. Journal of King Saud University-Computer and Information Sciences, 34(5), 1884-1894.
[24] Jiao, W., Tang, R., & Zhou, W. (2024). Delay-sensitive energy-efficient routing scheme for the Wireless Sensor Network with path-constrained mobile sink. Ad Hoc Networks, 158, 103479.
[25] Kaviarasan, S., & Srinivasan, R. (2024). Developing a novel energy efficient routing protocol in WSN using adaptive remora optimization algorithm. Expert Systems with Applications, 244, 122873.
[26] Phalaagae, P., Zungeru, A. M., Sigweni, B., Rajalakshmi, S., Batte, H., & Eyobu, O. S. (2024). An Energy Efficient Authentication Scheme for Cluster-based Wireless IoT Sensor Networks. Scientific African, e02287.
[27] Sahayaraj, J. M., Gunasekaran, K., Verma, S. K., & Dhurgadevi, M. (2024). Energy Efficient Clus- tering and Sink Mobility Protocol using Improved Dingo and Boosted Beluga Whale Optimization Algorithm for Extending Network Lifetime in WSNs. Sustainable Computing: Informatics and Sys- tems, 101008.