文献类型：期刊文献

英文题名：Reliability Evaluation for Clustered WSNs under Malware Propagation

作者：Shen, Shigen[1,2];Huang, Longjun[1];Liu, Jianhua[2];Champion, Adam C.[3];Yu, Shui[4];Cao, Qiying[5]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing 314001, Peoples R China;[3]Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA;[4]Deakin Univ, Sch Informat Technol, Burwood 3125, Australia;[5]Donghua Univ, Coll Comp Sci & Technol, Shanghai 201620, Peoples R China

年份：2016

卷号：16

期号：6

外文期刊名：SENSORS

收录：SCI-EXPANDED(收录号：WOS:000378756500103)、、EI(收录号：20162402502013)、Scopus(收录号：2-s2.0-84973610948)、WOS

基金：This work was supported by National Natural Science Foundation of China under Grants Nos. 61272034 and 61572014 and by Zhejiang Provincial Natural Science Foundation of China under Grant No. LY16F020028.

语种：英文

外文关键词：wireless sensor network; reliability evaluation; malware propagation; epidemic theory; continuous-time Markov chain; reliability theory

外文摘要：We consider a clustered wireless sensor network (WSN) under epidemic-malware propagation conditions and solve the problem of how to evaluate its reliability so as to ensure efficient, continuous, and dependable transmission of sensed data from sensor nodes to the sink. Facing the contradiction between malware intention and continuous-time Markov chain (CTMC) randomness, we introduce a strategic game that can predict malware infection in order to model a successful infection as a CTMC state transition. Next, we devise a novel measure to compute the Mean Time to Failure (MTTF) of a sensor node, which represents the reliability of a sensor node continuously performing tasks such as sensing, transmitting, and fusing data. Since clustered WSNs can be regarded as parallel-serial-parallel systems, the reliability of a clustered WSN can be evaluated via classical reliability theory. Numerical results show the influence of parameters such as the true positive rate and the false positive rate on a sensor node's MTTF. Furthermore, we validate the method of reliability evaluation for a clustered WSN according to the number of sensor nodes in a cluster, the number of clusters in a route, and the number of routes in the WSN.