Paralleling Temperature Monitoring in Large Scale Sensor Network with Energy Constrains

In large scale temperature monitoring environment, there will be thousands to tens thousands temperature sensors deployed to monitor the entire environment. These temperature sensors will be organized in two layers, where several central computers serve as the information center and some single-chip...

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Bibliographic Details
Published in2007 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2667 - 2672
Main Author Hua Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2007
Subjects
Automatic control
Computerized monitoring
Condition monitoring
Cybernetics
Engagement model analysis
Large scale temperature monitoring
Large-scale systems
Machine learning
Performance evaluation
Power engineering and energy
Protocols
Sensor network
Temperature measurement
Temperature sensors
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ISBN1424409721
9781424409723
ISSN2160-133X
DOI10.1109/ICMLC.2007.4370600

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Summary:In large scale temperature monitoring environment, there will be thousands to tens thousands temperature sensors deployed to monitor the entire environment. These temperature sensors will be organized in two layers, where several central computers serve as the information center and some single-chip Microcontrollers serve as the hypogenous bridge connected with the detail sensors. While the performance is of great importance, the sensor network is of energy constrains. In order to maximize the performance and keep the energy usage under control, the monitoring and controlling procedures are typically designed manually and case by case. In this paper, the engagement model will be cataloged and the 3 models will be evaluated in performance and synchronization requirement. On this basis, a general model is built to support the engineers to establish the procedure automatically.
ISBN:1424409721
9781424409723
ISSN:2160-133X
DOI:10.1109/ICMLC.2007.4370600