基于改进烟花算法的无线传感器网络覆盖优化策略  

Optimization strategy for WSNs coverage based on improved fireworks algorithm

作　　者：张军惺[1] 张翠萍[1] 谢凤玲[1] ZHANG Junxing;ZHANG Cuiping;XIE Fengling(Modern Education Technology Center of Hebei Institute of Physical Education,Shijiazhuang 050041,China)

机构地区：[1]河北体育学院现代教育技术中心,河北石家庄050041

出　　处：《传感器与微系统》2024年第11期127-130,共4页Transducer and Microsystem Technologies

基　　金：河北省技术创新引导计划项目(20475701D)。

摘　　要：为优化无线传感器网络覆盖范围,提出了一种基于改进烟花算法的无线传感器网络覆盖优化策略。首先,通过概率感知模型和目标函数建立了网络覆盖策略。其次,引入拉丁超立方抽样方法和多重扰动对传统烟花算法进行改进,避免算法进行局部最优和过早收敛。最后,为验证所提算法的优化性能,与常规优化算法进行了对比。实验结果表明:所提算法能有效逃离局部最优,在三种不同场景下,网络覆盖率分别达到了94.82%、98.23%和96.59%,其性能明显优于其他对比算法。To optimize coverage range of wireless sensor networks(WSNs),a WSNs coverage optimization strategy based on improved fireworks algorithm is proposed.Firstly,the network coverage strategy is established through probabilistic sensing model and objective function.Secondly,the Latin hypercube sampling method and multiple disturbances are introduced to improve the traditional fireworks algorithm to avoid local optimum and premature convergence of the algorithm.Finally,in order to verify the optimization performance of the proposed algorithm,it is compared with the conventional optimization algorithm.The experimental results show that the proposed algorithm can effectively escape from the local optimum,and the network coverage rate in three different scenarios reaches 94.82%,98.23%and 96.59%,respectively,which shows that its performance is significantly better than other comparison algorithms.

关 键 词：无线传感器网络 烟花算法 覆盖率 感知模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]