摘要
针对目前无线传感网络拓扑优化时忽略汇聚节点收敛特性导致网络鲁棒性低的缺陷,提出了一种基于改进的文化基因的拓扑优化模型。考虑到无线传感器网络的级联特性,设计了一种基于汇聚介数熵的局部搜索算子。实验结果表明,所提改进文化基因模型的拓扑优化算法综合性能更优。仿真结果进一步验证了所提模型对提高无线传感器网络的级联鲁棒性具有一定的借鉴作用。
A topology optimization model based on improved cultural gene is proposed to solve the problem of low network robustness caused by neglecting the convergence characteristics of sink nodes in the current topology optimization of wireless sensor networks.Considering the cascading characteristics of wireless sensor networks,a local search operator based on convergence intermediate entropy is designed.The experiment results show that the proposed local search operator can effectively improve the topology optimization process.Compared with simulated annealing algorithm and mountain climbing algorithm,the proposed topology optimization algorithm based on the improved cultural gene model has better comprehensive performance.The simulation results further verify that the proposed model can be used for reference to improve the cascade robustness of wireless sensor networks.
作者
周慷
Zhou Kang(School of Physics and Electronic Information,Yan'an University,Yan'an 716000,China)
出处
《单片机与嵌入式系统应用》
2023年第3期24-27,共4页
Microcontrollers & Embedded Systems
关键词
无线传感网络
拓扑优化
级联故障
鲁棒性
wireless sensor network
topology optimization
cascade failure
robustness
作者简介
通信作者:周慷,主要研究方向为通信工程。yuancc333@163.com。
