摘要
无线传感器网络内多个移动节点在采集、接收和发送数据时,数据来源的不规律性会造成节点瞬间接收大量数据,从而引发严重的网络拥塞,然而现有网络拥塞控制方法计算精度较低。针对该问题,建立一种基于布谷鸟搜索算法的模糊比例-积分-微分(PID)拥塞控制模型(CFPID)。将PID控制器引入无线传感网络,采用模糊控制算法整定优化PID参数以提高计算精度,并利用布谷鸟搜索算法对模糊PID控制的量化因子和参数增量进行搜索优化,以实现对节点内消息队列长度的精准调控。实验结果表明,与PID、IBLUE等传统控制方法相比,本文方法对队列长度和丢包率的控制能力更强,网络吞吐量提高4%~8%。
When multiple mobile nodes in Wireless Sensor Networks(WSNs)collect,receive and send data,the irregularity of data sources will cause nodes to receive a large amount of data instantaneously,resulting in serious network congestion.However,the existing network congestion control methods have low calculation accuracy.To solve the problem,this paper proposes a fuzzy Proportional-Integral-Differential(PID)congestion control model,CFPID,based on the Cuckoo Search(CS)algorithm.The PID controller is introduced into WSNs.Then the fuzzy control algorithm is used to adjust and optimize PID parameters to improve calculation accuracy,and the CS algorithm is used to search and optimize the quantization factor and parameter increment of fuzzy PID control,so as to realize the precise control of message queue length in nodes.Experimental results show that compared with the traditional control methods such as PID and IBLUE,the proposed method has stronger control ability on queue length and packet loss rate,and the network throughput is increased by 4%~8%.
作者
石优
林琳
吴岩
SHI You;LIN Lin;WU Yan(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2020年第11期238-245,共8页
Computer Engineering
基金
江苏省高等学校自然科学研究重大项目(17KJA413001)
江苏省工业网络安全技术重点实验室开放基金(STICB201905)。
关键词
PID控制
模糊控制
布谷鸟搜索算法
网络拥塞
无线传感器网络
PID control
fuzzy control
Cuckoo Search(CS)algorithm
network congestion
Wireless Sensor Networks(WSNs)
作者简介
石优(1995—),男,硕士研究生,主研方向为无线传感器网络、网络拥塞控制,E-mail:1528710138@qq.com;林琳,副教授;吴岩,副教授。
