文献类型：期刊文献

英文题名：Wireless sensor network reliability modelling based on masked data

作者：Zhao, Bo Yang, Jianfeng Zhao, Ming Li, Qi Liu, Yan

第一作者：Zhao, Bo

通信作者：Yang, JF[1]

机构：[1]Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Tech, Beijing 100876, Peoples R China;[2]Guizhou Inst Technol, Fac Informat Engn, Guiyang 550003, Peoples R China;[3]Univ Gavle, Fac Engn & Sustainable Dev, S-80176 Gavle, Sweden;[4]Beijing Univ Posts & Telecommun, Sch Comp, Beijing 100876, Peoples R China

第一机构：Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Tech, Beijing 100876, Peoples R China

通信机构：corresponding author), Guizhou Inst Technol, Fac Informat Engn, Guiyang 550003, Peoples R China.|贵州理工学院;

年份：2015

卷号：17

期号：4

起止页码：217-223

外文期刊名：INTERNATIONAL JOURNAL OF SENSOR NETWORKS

收录：;EI(收录号：20215011303924);Scopus(收录号：2-s2.0-84930432797);WOS:【SCI-EXPANDED(收录号:WOS:000358693100002)】；

基金：This work is supported by the National Natural Science Foundation of China under Grant No. 61302087.

语种：英文

外文关键词：masked data; WSN; wireless sensor network; NHPP; non-homogeneous Poisson process; reliability; MLE; maximum likelihood estimation

摘要：This paper studies the reliability modelling of wireless sensor networks (WSNs) with the masked data that are often observed in practice. The masked data are the system failure data when exact subsystems or components causing system failures cannot be identified. When the masked data are observed, however, it is difficult to estimate the WSN reliability since the failure processes of the subnets cannot be decomposed into simple subsystem processes. In this paper, an additive non-homogeneous poisson process (NHPP) model is proposed to describe the failure process of the WSN with subnets. The maximum likelihood estimation (MLE) procedure is developed to estimate the parameters in the proposed model. By applying the given procedure, the WSN reliability estimate can be relatively easy to obtain. A numerical example based on simulation data with random masking is also provided to illustrate the applicability of the methodology.