Probabilistic Assessment of High-Throughput Wireless Sensor Networksopen access
- Authors
- Kim, Robin E.; Mechitov, Kirill; Sim, Sung-Han; Spencer, Billie F., Jr.; Song, Junho
- Issue Date
- May-2016
- Publisher
- MDPI AG
- Keywords
- wireless sensor networks; network communication reliability; probabilistic assessment; high-throughput data transfer; structural health monitoring
- Citation
- SENSORS, v.16, no.6, pp.791 - 806
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 16
- Number
- 6
- Start Page
- 791
- End Page
- 806
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/23064
- DOI
- 10.3390/s16060792
- ISSN
- 1424-8220
- Abstract
- Structural health monitoring (SHM) using wireless smart sensors (WSS) has the potential to provide rich information on the state of a structure. However, because of their distributed nature, maintaining highly robust and reliable networks can be challenging. Assessing WSS network communication quality before and after finalizing a deployment is critical to achieve a successful WSS network for SHM purposes. Early studies on WSS network reliability mostly used temporal signal indicators, composed of a smaller number of packets, to assess the network reliability. However, because the WSS networks for SHM purpose often require high data throughput, i.e., a larger number of packets are delivered within the communication, such an approach is not sufficient. Instead, in this study, a model that can assess, probabilistically, the long-term performance of the network is proposed. The proposed model is based on readily-available measured data sets that represent communication quality during high-throughput data transfer. Then, an empirical limit-state function is determined, which is further used to estimate the probability of network communication failure. Monte Carlo simulation is adopted in this paper and applied to a small and a full-bridge wireless networks. By performing the proposed analysis in complex sensor networks, an optimized sensor topology can be achieved.
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