Clustering routing protocol based on quantum coyote optimization in wireless sensor networks

被引：0

作者：

Gao, Hongyuan ^{[1
]}

Chen, Shicong ^{[1
]}

Sun, Zhiguo ^{[1
]}

Wang, Zhenduo ^{[1
]}

机构：

[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2024年 / 45卷 / 10期

关键词：

centralization; localization; quantum computation; quantum coyote optimization: cluster validity period; relay transmission; virtual cluster head; wireless sensor network;

D O I：

10.11990/jheu.202302008

中图分类号：

学科分类号：

摘要：

To further balance the energy consumption of wireless sensor networks and prolong the network lifetime, a clustering routing protocol QCCRP based on quantum coyote optimization algorithm is proposed. QCCRP serves the static deployment network. Firstly, the quantum coyote optimization algorithm, which combines the advantages of quantum computing and coyote optimization algorithm, is used to build clusters dynamically and centrally. During the validity period of the cluster, the sensor energy, the distance to the base station and the distance to the virtual cluster head are comprehensively considered to rotate the cluster heads dynamically and locally. Then, the data relay transmission chain is built dynamically and distributed through the local broadcast of the cluster heads. The simulation results show that compared with benchmark protocols LEACH, POFCA and E2NUCR, QCCRP can effectively balance the network load and energy consumption, and prolong the network life while ensuring the network service quality. © 2024 Editorial Board of Journal of Harbin Engineering. All rights reserved.

引用

页码：2034 / 2040

页数：6

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