文献类型：期刊文献

中文题名：基于半马尔可夫过程的异质WSNs可用度评估

英文题名：AVAILABILITY MEASUREMENT FOR HETEROGENEOUS WSNS BASED ON SEMI-MARKOV PROCESS

作者：杨淑敏[1];吴国文[1];张红[1];沈士根[2];曹奇英[1]

机构：[1]东华大学计算机科学与技术学院,上海201620;[2]绍兴文理学院计算机科学与工程系,浙江绍兴312000

年份：2024

卷号：41

期号：3

起止页码：124

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：北大核心2023、CSTPCD、、北大核心

基金：国家自然科学基金项目(61772018)。

语种：中文

中文关键词：无线传感器网络;半马尔可夫过程;异质;可用度

外文关键词：Wireless sensor networks;Semi-Markov process;Heterogeneous;Availability

中文摘要：为评估异质无线传感器网络(HWSNs)的可用性,提出一种异质传感器节点状态更契合实际情况的SEQIRD(Susceptible Exposed Quarantined Infected Recovered Dead)新模型。使用半马尔可夫过程描述节点各状态之间的动态转换过程,得到各个状态的稳态概率,并计算得出不同拓扑结构下整个HWSNs稳态可用度。最后进行数值分析,以验证初始感染率、感染变化率和恢复率对HWSNs稳态可用度的影响。

外文摘要：In order to measure the availability of heterogeneous wireless sensor networks(HWSNs),a new Susceptible Exposed Quarantined Infected Recovered Dead(SEQIRD)model with heterogeneous sensor node states is proposed,which is more suitable for the actual situation.The semi-Markov process was utilized to depict states of the node s dynamic transition process,and the steady-state probability of each state was obtained.The entire HWSNs steady-state availability under different topologies could be computed.Numerical analyses were performed to verify the influence of the initial infection rate,infection change rate and recovery rate on the steady-state availability of HWSNs.