摘要
为了提高物联网环境下无线传感器网络的数据采集精度,提高无线传感器网络的环境适应能力,提出一种基于波特间隔均衡控制的物联网环境下无线传感器网络数据采集方法.构建多传感器融合跟踪模型下物联网传感组网结构模型,结合最短路径控制协议进行物联网数据采集节点的部署,建立分簇路由探测协议下物联网环境中无线传感器网络的数据采集信道模型,在带宽受距离的约束作用下,进行物联网环境下无线传感数据采集系统的载频频率编码设计,采用波特间隔均衡控制方法,实现数据优化采集.仿真结果表明,采用该方法进行物联网环境下无线传感器网络数据采集准确性较高,信道均衡性较好,降低了无线传感网络的能耗开销.
A data acquisition method for wireless sensor networks based on Porter interval equalization control is proposed to improve the data acquisition accuracy of wireless sensor network under the environment of Internet of Things,and improve the adaptability of wireless sensor network.The structure model of the Internet of Things sensor network is constructed under the multi-sensor fusion tracking model,and the data acquisition node of the Internet of Things is deployed in combination with the shortest path control protocol.The data acquisition channel model of wireless sensor network under the environment of Internet of Things under cluster routing detection protocol is established.The carrier frequency coding design of wireless sensor data acquisition system under Internet of Things environment is carried out under the restriction of bandwidth and distance.Porter interval equalization control method is used to realize optimal data acquisition.The simulation results show that the proposed method has high accuracy and good channel equalization for wireless sensor networks in the Internet of Things environment,and reduces the energy consumption of wireless sensor networks.
作者
王波
WANG Bo(Yangen University,Quanzhou 362014,China)
出处
《内蒙古民族大学学报（自然科学版）》
2019年第1期9-14,共6页
Journal of Inner Mongolia Minzu University：Natural Sciences
基金
2018年福建省科技厅软科学项目(2018R0097)
福建省教育科学"十三五"规划2018年度课题(FJJKCG18-120)
福建省高等学校应用型学科建设培育项目
关键词
物联网
无线传感网络
数据采集
信道均衡
控制
Internet of Things
Wireless sensor network
Data acquisition
Channel equalization
Control
作者简介
王波,仰恩大学讲师.
