Context Aware Sensor Configuration Model for Internet of Things
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen,, Dimitrios Georgakopoulos

TL;DR
This paper introduces CASCoM, a model that automates context-aware sensor configuration in IoT middleware using semantic technologies to improve filtering, fusion, and reasoning processes.
Contribution
The paper presents a novel semantic-based model for automated, context-aware sensor configuration in IoT systems, addressing key challenges in middleware management.
Findings
Effective automation of sensor configuration achieved
Improved context-awareness in IoT middleware demonstrated
Semantic technologies enhance configuration accuracy
Abstract
We propose a Context Aware Sensor Configuration Model (CASCoM) to address the challenge of automated context-aware configuration of filtering, fusion, and reasoning mechanisms in IoT middleware according to the problems at hand. We incorporate semantic technologies in solving the above challenges.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · Robotics and Automated Systems · Service-Oriented Architecture and Web Services
