NISESep 7, 2013

Context Aware Sensor Configuration Model for Internet of Things

arXiv:1309.1811v1
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of efficient and adaptive IoT system configuration for developers and users, but appears incremental as it builds on existing semantic technologies without specifying major breakthroughs.

The paper tackles the challenge of automated context-aware configuration of filtering, fusion, and reasoning mechanisms in IoT middleware by proposing the Context Aware Sensor Configuration Model (CASCoM), which incorporates semantic technologies to address these issues.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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