DocumentCode :
1933355
Title :
Paralleling Temperature Monitoring in Large Scale Sensor Network with Energy Constrains
Author :
Hu, Hua
Author_Institution :
Zhejiang Gongshang Univ., Hangzhou
Volume :
5
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2667
Lastpage :
2672
Abstract :
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.
Keywords :
microcontrollers; temperature sensors; energy constraint; large scale sensor network; large scale temperature monitoring; temperature sensor; Automatic control; Computerized monitoring; Condition monitoring; Cybernetics; Large-scale systems; Machine learning; Power engineering and energy; Protocols; Temperature measurement; Temperature sensors; Engagement model analysis; Large scale temperature monitoring; Performance evaluation; Sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370600
Filename :
4370600
Link To Document :
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