云信任驱动的物联网电子通讯稳定性优化方法  被引量:1

Cloud Trust Driven Optimization Method for Electronic Communication Stability of Internet of Things

在线阅读下载全文

作  者:高飞 赵沙沙 GAO Fei;ZHAO Sha-sha(Taishan Institute of Technology,Shandong University of Science and Technology,Taian Shandong 271038,China)

机构地区:[1]山东科技大学泰山科技学院,山东泰安271038

出  处:《计算机仿真》2021年第9期164-167,437,共5页Computer Simulation

基  金:2020年度山东省教育教学改革研究项目(20SJG015):独立学院电子信息类专业以创新能力培养为核心的实践教学体系与教学模式构建。

摘  要:针对多人同时通讯且外界干扰因素较多,电子通讯过程中容易产生信号不稳定的问题,提出云信任驱动的物联网电子通讯稳定性优化方法。将云信任机制作为各物联网电子通讯服务之间的动态演化信任关系,进行显性和隐性的不确定性转换,计算数据通信网络性能的目标函数,确认控制策略;将通信中网络节点的定位信息加入到通信数据包中,得到网络中最稳定的电子通信路径,构成网络拓扑结构;采用克拉索夫斯基法,并将通讯网络的节点工作状态划分为拥挤状态以及正常状态,计算出两者概率,判定转换平衡的范围,以此实现网络拓扑稳定性的优化。仿真结果证明,所提方法可以提高物联网电子通讯精度,且较少地受到外界干扰因素的影响,通讯传输速率较快。This paper proposes a cloud trust driven optimization method for the stability of Internet of things electronic communication for improving the stability of the electronic communication process.Cloud trust mechanism was regarded as the dynamic evolutionary trust relationship among the Internet of things electronic communication services to transform the explicit and implicit uncertainty.The target function of data communication network performance was calculated to confirm the control strategy.The location information of network nodes was introduced into the communication packet to get the most stable electronic communication path in the network, thus forming the topology of the network.Based on the Krasovsky method, the node working state of the communication network was divided into congestion state and normal state.The probability of both can be determined to judge the range of conversion balance, and finally optimized the topological stability of the network.Simulation results show that the method has high communication speed and high accuracy of Internet of things electronic communication.

关 键 词:云信任驱动 物联网 电子通讯 稳定性优化 克拉索夫斯基方法 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象