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- Title
Reliability Evaluation for Clustered WSNs under Malware Propagation.
- Authors
Shigen Shen; Longjun Huang; Jianhua Liu; Champion, Adam C.; Shui Yu; Qiying Cao
- Abstract
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.
- Subjects
WIRELESS sensor networks; MALWARE; MARKOV processes; CONTINUOUS time models; ENGINEERING reliability theory
- Publication
Sensors (14248220), 2016, Vol 16, Issue 6, p855
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s16060855