无线传感器网络数据传输路径目标识别方法  

Target recognition method for data transmission pathof wireless sensor networks

作　　者：朱永琴 田二林[2] ZHU Yong-qin;TIAN Er-lin(College of Mechanical and Electrical Engineering,Huanghe Jiaotong University,Jiaozuo 454950,China;College of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450003,China)

机构地区：[1]黄河交通学院机电工程学院,河南焦作454950 [2]郑州轻工业学院计算机与通信工程学院,郑州450003

出　　处：《沈阳工业大学学报》2021年第3期307-310,共4页Journal of Shenyang University of Technology

基　　金：河南省自然科学基金项目(172106000074).

摘　　要：为解决传统网络数据传输路径目标识别方法存在识别能耗和延迟高、准确率低问题,提出基于粒子群优化的无线传感器网络数据传输路径目标识别方法.利用路径传输效率、路径剩余负载率、有效带宽估计值制定网络数据传输路径目标识别的目标函数,并采用粒子群法对目标函数进行求解,进一步提高识别准确性.结果表明,所提方法平均识别延迟为1.8μs,平均识别能耗为69.6 J,识别准确率较高.该方法整体识别性能优越,具有可靠性.In order to solve the problems of high energy consumption,high delay and low accuracy in the traditional target recognition methods for the data transmission path,a target recognition method for the data transmission path of wireless sensor networks(WSNs)based on the particle swarm optimization(PSO)was proposed.The target function for the target recognition of data transmission path of WSNs was formulated with the path transmission efficiency,the path residual load rate and the estimated values of effective bandwidth.The target function was solved with the PSO method to further improve the recognition accuracy.The results show that the average recognition delay of the as-proposed method is 1.8μs,the average recogniti on energy consumption is 69.6 J,and the recognition accuracy is relatively higher.The overall recognition performance of the as-proposed method is superior and reliable.

关 键 词：无线传感器网络 传输路径 目标识别 噪声功率 决策函数 粒子群法 目标函数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]