摘要
为缩短无线体域网传输时延,提出了一种基于遗传算法的无线体域网多路径路由选择方法。通过遗传算法设置拥堵最小、节能最大以及功率最大作为约束条件,根据负载情况判断网络拥堵程度,通过计算跳转节点预计拥堵时长路径,挑选能量充足、可完成跳转的节点作为传输点,利用函数计算出最佳传输功率节点,利用遗传染色体与网络节点间互相映射关系,自适应调整获得综合性能最优的多路径路由。实验证明:本文方法传输时延短,能延长节点使用寿命。
In order to shorten the transmission delay of wireless body area network,a multi-path selection method based on genetic algorithm is proposed. The genetic algorithm is used to set the minimum congestion,maximum energy saving and maximum power as constraints. According to the load situation,the degree of network congestion is judged. By calculating the expected congestion duration path of the jumping nodes, the nodes with sufficient energy and complete jumping are selected as transmission points,the best transmission power node is calculated by using the function, and the multi-path route with the best comprehensive performance is obtained through adaptive adjustment by using the mapping relationship between genetic chromosomes and network nodes. Experiment results show that the proposed method has short transmission delay and can prolong the service life of nodes.
作者
李晗
杜鹏
杜颖
李晓会
Han LI;Peng DU;Ying DU;Xiao-hui LI(School of Electronic and Information Engineering,Liaoning University of Technology,Jinzhou 121001,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2022年第11期2706-2711,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家青年科学基金项目(61802161)
辽宁省博士科研启动基金项目(2019-BS-121)
中央引导地方科技发展项目(2020JH6,10500067)。
关键词
遗传算法
无线体域网
路由选择
网络链路拥堵
传感器节点
genetic algorithm
wireless body area network
routing
network link congestion
sensor nodes
