{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T03:17:01Z","timestamp":1783221421489,"version":"3.54.6"},"reference-count":51,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2016,5,31]],"date-time":"2016-05-31T00:00:00Z","timestamp":1464652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technology Advancement Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government","award":["15CTAP-C097436-01"],"award-info":[{"award-number":["15CTAP-C097436-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s16060792","type":"journal-article","created":{"date-parts":[[2016,5,31]],"date-time":"2016-05-31T10:40:18Z","timestamp":1464691218000},"page":"792","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Probabilistic Assessment of High-Throughput Wireless Sensor Networks"],"prefix":"10.3390","volume":"16","author":[{"given":"Robin","family":"Kim","sequence":"first","affiliation":[{"name":"Fire Research Center, Korea Institute of Civil Engineering and Building Technology, Gyeonggi-do 18544, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirill","family":"Mechitov","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7737-1892","authenticated-orcid":false,"given":"Sung-Han","family":"Sim","sequence":"additional","affiliation":[{"name":"School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Billie","family":"Spencer","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junho","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,5,31]]},"reference":[{"key":"ref_1","unstructured":"Rice, J.A., and Spencer, B.F. 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