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Adaptive Sensing Based on Profiles for Sensor Systems
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DOI：10.3390/s91108422.png)
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摘要
En 中文
This paper proposes a profile-based sensing framework for adaptive sensor systems based on models that relate possibly heterogeneous sensor data and profiles generated by the models to detect events. With these concepts, three phases for building the sensor systems are extracted from two examples: a combustion control sensor system for an automobile engine, and a sensor system for home security. The three phases are: modeling, profiling, and managing trade-offs. Designing and building a sensor system involves mapping the signals to a model to achieve a given mission.
Keyword:
sensor systems
profiles
adaptive sensing
dynamic relational network
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期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
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PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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分享收藏Sensor networks: Evolution, opportunities, and challenges传感器网络: 演进、机遇与挑战PROCEEDINGS OF THE IEEE
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PROCEEDINGS OF THE IEEEIF25.9
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