SEP Routing Protocol Based on Hybrid-Strategy Improved Whale Optimization Algorithm

Mingshi Luo; Han Xu

doi:10.54097/cgmxc253

Authors

Mingshi Luo
Han Xu

DOI:

https://doi.org/10.54097/cgmxc253

Keywords:

Whale Optimization Algorithm; SEP Routing Protocol; Energy Balance; Wireless Sensor Network; Network Lifecycle

Abstract

Aiming at the problems of unreasonable cluster head election, uneven energy consumption and short network life cycle in wireless sensor networks with Stable Election Protocol (SEP) cluster head election is unreasonable, uneven energy consumption and short network life cycle in wireless sensor networks, a SEP routing protocol based on hybrid strategy whale optimization (HWO-SEP) is proposed. Optimize the population initialization and enhance the population diversity by Tent chaotic mapping with adversarial learning strategy. Design nonlinear convergence factor with dynamic spiral parameters, combined with adaptive inertia weighting model to balance the ability of global exploration and local exploitation. Construct a multi-objective fitness function to optimize the cluster head election process by comprehensively considering the cluster head residual energy, intra-cluster communication cost and distance to the base station. Simulation experiments show that the improved protocol network stability is improved by 47.75%, 31.38%, and 16.35% compared with LEACH, SEP, and WOA-SEP, respectively

References

[1] Ruyan Wang, Anqi Yang, Dapeng Wu, et al. Joint task scheduling and computational resource allocation optimization strategy in asynchronous mobile edge computing networks[J]. Journal of Electronics and Information,2025,47(02):470-479.

[2] Ouyang F, Cheng H, Lan Y, et al. Automatic delivery and recovery system of Wireless Sensor Networks (WSN) nodes based on UAV for agricultural applications [J]. Computers and Electronics in Agriculture, 2019, 162: 31-43.

[3] Xinya Duan, Haiyan Kang, Guangxu Zhao, et al. Research on dynamic authentication and multi-level authorization technology based on channel attributes of industrial internet of things[J]. Logistics Science and Technology,2025,48(05):59-62+65.

[4] H. Li, M. L. Tang, L. Wei, et al. Potential game UWSN cluster routing algorithm based on ocean current model[J/OL]. Computer Application Research,1-10[2025-03-31].

[5] Chenglong Zhang. Research on data transmission strategies for wireless sensor networks [D]. Xi'an University of Technology,2023.

[6] Zhihong Xi, Xiangfeng LI. Research on WSN clustering protocol based on Memetic algorithm[J]. Computer Application Research,2018,35(11):3351-3355.

[7] Zhang Meng. Research on energy efficient cluster routing and data fusion for agricultural wireless sensor networks [D]. Hebei University of Geology,2022.

[8] Heinzelman, Wendi Rabiner, Anantha Chandrakasan, and Hari Balakrishnan. "Energy-efficient communication protocol for wireless microsensor networks." IEEE, 2000.

[9] Sun Xiang. Research on SEP Protocol Improvement Scheme Based on Cluster Head Election and Multi-hop [D]. Nanjing University of Posts and Telecommunications, 2021.

[10] Zhao X, Zhu H, Aleksic S, et al. Energy-Efficient Routing Protocol for Wireless Sensor Networks Based on Improved Grey Wolf Optimizer[J]. KSII Transactions on Internet and InformationSystems,2018,12(6):2644-2657.

[11] Han H, Tang J, Jing Z. Wireless sensor network routing optimization based on improved ant colony algorithm in the Internet of Things[J]. Heliyon, 2024, 10(1).

[12] H.Y. Gao, S. C. Chen, Z. G. Sun,et al. Quantum coyote optimization based cluster routing protocol in wireless sensor networks[J]. Journal of Harbin Engineering University,2024,45(10):2034-2040.

[13] MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software,2016,95:51-67.

[14] Lin XY. Research on Cluster Routing Protocol for Heterogeneous Sensor Networks Based on Objective Optimization [D]. Chongqing Gongshang University, 2023.

[15] DU Xiaoxin, ZHOU Wei, WANG Bo, et al. A simplex-guided whale optimization algorithm incorporating historical memory[J]. Journal of Qiqihar University(Natural Science Edition),2024,40(02):40-44+50.

[16] NI Junhong, WANG Chang. Short-term power forecasting based on improved whale optimization algorithm with residual correction[J]. Power Information and Communication Technology,2025,23(02):18-27.

[17] Chiu Zhang. Analysis and research on routing protocol for WSNs based on improved LEACH [D]. Ningxia University, 2020.

[18] Jian Ye. Research on energy-saving cluster routing protocol for wireless sensor networks [D]. Jiangxi University of Science and Technology, 2019.