Paralleling Temperature Monitoring in Large Scale Sensor Network with Energy Constrains

• Published in: 2007 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2667 - 2672
• Main Author: Hua Hu
• Format: Conference Proceeding
• Language: English
• 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
• ISBN: 1424409721; 9781424409723
• ISSN: 2160-133X
• DOI: 10.1109/ICMLC.2007.4370600

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.