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面向无线异构传感器网络的三维覆盖研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
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[目的]为达到增强无线异构传感器网络(HWSN)三维覆盖能力的目的,提出了一种基于改进蜜獾优化算法(IHBA)的无线异构传感器网络三维部署方法.[方法]首先,结合自适应果蝇优化算法,增强算法的随机搜索性,便于算法得到全局最优解,然后引入替换最差个体策略,避免适应度过低的个体占据种群位置,提高算法收敛速度,同时引入新个体提高种群多样性,避免算法个体早熟.[结果]将该算法应用于无线异构传感器网络的覆盖优化,相比标准蜜獾算法,其网络覆盖率提升18.1%.[结论]仿真结果表明,该算法收敛速度更快,可以有效提高无线异构传感器的网络覆盖能力,整个网络的节点分布也更加均匀.
Research on Three-Dimensional Coverage for Wireless Heterogeneous Sensor Networks
[Objective]In order to enhance the 3D coverage capability of wireless heterogeneous sensor net-works(HWSN),a 3D deployment method based on improved honey badger optimization algorithm(IHBA)is proposed.[Method]Firstly,combined with the adaptive fruit fly optimization algorithm,the random search abili-ty of the algorithm is enhanced,which is convenient for the algorithm to obtain the global optimal solution.Then,the strategy of replacing the worst individual is introduced to avoid the low adapting individual to occupy the population position and improve algorithm convergence speed.In the meantime,new individuals are intro-duced to improve the population diversity and avoid the individual prematurity of the algorithm.[Result]This al-gorithm is applied to the coverage optimization of HWSN,and the network coverage is improved by 18.1%com-pared with the standard Honey Badger algorithm.[Conclusion]The simulation results show that the algorithm converges faster,can effectively improve the network coverage capability of wireless heterogeneous sensors,and the node distribution of the whole network is more uniform.

wireless heterogeneous sensor networks(HWSN)honey badger algorithmadaptive fruit fly optimi-zation algorithmthe worst individual strategy replacement

黄德昌、蔡芳龙、黄招娣、吴章

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华东交通大学信息工程学院,江西南昌 330013

无线异构传感器网络 蜜獾算法 自适应果蝇优化算法 替换最差个体策略

江西省自然科学基金项目江西省教育厅科学技术研究项目

20232BAA10012GJJ210610

2024

华东交通大学学报
华东交通大学

华东交通大学学报

CSTPCD
影响因子：0.748
ISSN：1005-0523
年,卷(期)：2024.41(3)