A reliable middleware for query-centric event detection over resource-constrained networks
Tang, Jiawei
Content Files
TANG-THESIS-2021.pdf
Loading…
Download Files
Loading…
Download Counts (All Files)
Loading…
Edit File
Loading…
Permalink
https://hdl.handle.net/2142/110562
Description
Title
A reliable middleware for query-centric event detection over resource-constrained networks
Author(s)
Tang, Jiawei
Issue Date
2021-04-26
Director of Research (if dissertation) or Advisor (if thesis)
Abdelzaher, Tarek
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2021-09-17T01:11:16Z
Keyword(s)
Middleware
System
IoT
Sensors
Abstract
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
TANG-THESIS-2021.pdf
