2026-09-22T03:39:40Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/110562 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Abdelzaher, Tarek Tang, Jiawei 2021-09-17T01:11:16Z 2021-09-17T01:11:16Z 2021-04-26 2021-05 This paper proposes a middleware that follows the MDO effect loop for query-centric event detection, providing some optimizations for resource-constrained networks. The middleware’s main objectives are easy-to-use, easy-to-deploy and providing a framework for customization on the annotation and sensor managing process. The experiments show that with the middleware, a short connection time is required for each node and every node has a reasonable failure detection ability. Lastly, it is presented that the implemented background subtraction-based video streaming strategy in the middleware has more minor average lags in static scenes compared with HLS streaming. Some future directions are also discussed at the end of this paper. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms The student, Jiawei Tang, accepted the attached license on 2021-04-23 at 11:26. The student, Jiawei Tang, submitted this Thesis for approval on 2021-04-23 at 11:31. This Thesis was approved for publication on 2021-04-26 at 15:14. DSpace SAF Submission Ingestion Package generated from Vireo submission #16527 on 2021-09-16 at 16:47:25 Made available in DSpace on 2021-09-17T01:11:16Z (GMT). No. of bitstreams: 2 TANG-THESIS-2021.pdf: 691143 bytes, checksum: af95571f87bad843e534887adf4ad30c (MD5) LICENSE.txt: 4208 bytes, checksum: 1f4fb3547c900da44c8205077c17c27b (MD5) Previous issue date: 2021-04-26 application/pdf http://hdl.handle.net/2142/110562 en Copyright 2021 Jiawei Tang Middleware System IoT Sensors A reliable middleware for query-centric event detection over resource-constrained networks text Thesis Computer Science Computer Science University of Illinois at Urbana-Champaign Thesis M.S.