Wireless Sensor and Actuator Networks for Lighting Energy ...
Wireless Sensor and Actuator Networks for Lighting Energy ...
Wireless Sensor and Actuator Networks for Lighting Energy ...
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List of Figures<br />
Figure 1-1 Research system architecture........................................................................3<br />
Figure 2-1 Primary energy consumption in commerical buildings. ..............................15<br />
Figure 2-2 Primary energy expenditure in commercial buildings. ................................15<br />
Figure 2-3 <strong>Energy</strong> consumption in commercial sector. ................................................16<br />
Figure 2-4 <strong>Energy</strong> usage in office buildings.................................................................16<br />
Figure 2-5 <strong>Wireless</strong> sensor plat<strong>for</strong>ms <strong>and</strong> sensor boards..............................................22<br />
Figure 4-1 Mote-FVF algorithm architecture...............................................................48<br />
Figure 4-2 Gaussian correlation curve. ........................................................................50<br />
Figure 4-3 Membership functions <strong>for</strong> defining the center of validation curve...............52<br />
Figure 4-4 Fuzzy centered validation curve. ................................................................52<br />
Figure 4-5 Membership functions <strong>for</strong> determining the adaptive parameter . ..............54<br />
Figure 4-6 Mote-FVF with median value majority voting scheme. ..............................58<br />
Figure 4-7 Mote-FVF with Gaussian correlation majority voting scheme. ...................58<br />
Figure 4-8 Comparison of variations of sensor validation <strong>and</strong> fusion algorithm...........60<br />
Figure 5-1 Mechanism <strong>for</strong> adaptive sampling [92].......................................................63<br />
Figure 5-2 Architecture of adaptive sensing rate algorithm..........................................63<br />
Figure 5-3 Prediction per<strong>for</strong>mance of Kalman filtering................................................66<br />
Figure 5-4 Adaptive Wiener filter................................................................................66<br />
Figure 5-5 Prediction per<strong>for</strong>mance of adaptive Wiener filtering...................................68<br />
Figure 5-6 Prediction per<strong>for</strong>mance of double exponential smoothing...........................69<br />
Figure 5-7 Membership functions <strong>for</strong> determining sensing rate....................................71<br />
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