摘要
针对传统遗传算法存在过早收敛,对遗传定位算法进行了改进,提出了一种新的无线传感器网络节点定位算法,通过对单调基因位进行突变克服遗传算法的局限性。仿真实验表明:改进遗传算法比传统遗传算法在对未知节点的定位精度与计算的收敛速度方面有了显著提高。
In view of the premature convergence of traditional genetic algorithms and the improvement of genetic algorithm,a new node localization algorithm for wireless sensor networks was proposed,which overcome the limitations of genetic algorithm by changing the monotonous gene bit. From the simulation results,the improved genetic algorithm significantly improved the localization accuracy and convergence speed of the unknown genetic algorithm compared with the traditional genetic algorithm.
作者
常庞帆
仉俊峰
仉斡
Chang Pangfan;Zhang Junfeng;Zhang Wo(Northeast Forestry University,Harbin 150040,P.R.China;SUN YAT-SEN Universit)
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2018年第8期102-105,共4页
Journal of Northeast Forestry University
基金
中央高校基本科研业务费专项资金项目(DL12CB09)
关键词
无线传感器
遗传算法
节点定位
Wireless sensor
Genetic algorithm
Node location