A reliable middleware for query-centric event detection over resource-constrained networks

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2021

Author dc:creator

• Tang, Jiawei

Contributors dc:contributor

• Abdelzaher, Tarek

• Middleware
• System
• IoT
• Sensors

Statement dc:rights

• Copyright 2021 Jiawei Tang

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/110562

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/110562