Wireless Sensor and Actuator Networks for Lighting Energy ...

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then gradually dimmed. After reaching the minimum, the light output was brought up to 80% for two minutes and then returned to the minimum before being turned off. Figure 9-20 Daylight harvesting test on seven occupants. Figure 9-21 Simulated daylight output for the second case. The sensor readings from each of the seven sensors on the occupants’ desktops are shown in Figure 9-22 and Figure 9-23, and are ordered by the amount of daylight reception. The occupant numbers labeled in the upper-right corner of each subplot correspond to occupants’ locations annotated by the circled digits in Figure 9-20. The 169
solid red horizontal lines and dashed cyan lines in the same plots represent the occupant’s preferred lighting and the ±5% boundary respectively. As soon as any sensor reading deviated from the occupant’s specified preference by 5%, new iterations of lighting optimization were triggered to bring the light back within the ±5% range. It is obvious that the closer the desks to the daylight simulating structure, the more susceptible to the extraneous light the sensors would be. Nonetheless, the light was maintained well within 5% of each occupant’s preferred lighting during the entire test. The percentage of energy usage of the system during the test compared to the original all-on/all-off lighting configuration is shown in Figure 9-24. Only 33.3% of energy was used to deliver occupants’ preferred lighting before daylight was available. The energy consumption reduced while harvesting daylight, and the minimum energy usage of 28.9% was achieved when the light output from the daylight simulating structure was at the brightest level. 170
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Wireless Sensor and Actuator Networ
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Abstract Wireless Sensor and Actuat
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To my wife for having faith in me a
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Table of Contents Chapter 1 Introdu
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6.4.2 Lighting Optimization Algorit
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10.2.1 Theoretical Contributions...
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List of Figures Figure 1-1 Research
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Figure 7-8 Voltage divider. .......
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Figure 9-31 Energy savings vs. payb
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The integration of wireless sensor
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esulting lighting is optimal in the
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acquisition and wireless transmissi
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a central base computer for sensor
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optimal light settings were in turn
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possibility of wireless actuator ne
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Chapter 2 Motivation The motivation
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[21]. Lighting accounts for 30% of
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Table 2-1 summarizes each of the co
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from light level tuning impossible
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used in the progress of this resear
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are expected to autonomously config
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office, and industrial applications
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Chapter 3 Related Research and Lite
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Although radio frequency is a suppo
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channels with different capabilitie
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In practice, fusion of sensor data
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The emergence of wireless sensor ne
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A is empty f A (x) = 0, x X (3.1)
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Convex combination: the relation Th
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where no crisp boundary can be defi
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developed by Dantzig [87]. The ineq
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sensor network is far more valuable
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Figure 4-1 Mote-FVF algorithm archi
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Figure 4-2 Gaussian correlation cur
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predicted reading. Note that the of
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fuzzification and m for the defuzz
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mote sensors were arranged in a 3-b
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Figure 4-6 Mote-FVF with median val
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Figure 4-8 Comparison of variations
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The daylighting system application
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The key components are the predicti
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Figure 5-3 Prediction performance o
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Figure 5-5 Prediction performance o
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Among them, adaptive Wiener filteri
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even though the sensed environment
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5.3 Simulation and Experiment Resul
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Figure 5-11 Adaptive sensing with d
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Figure 5-13 Damped adaptive sensing
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Chapter 6 Optimal Lighting Actuatio
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of the workplane level illuminance
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office with K luminaires, for examp
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E sub = e pq e rs e xy 1
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optimizer for a consistency check.
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Figure 6-4 Pseudo code of the light
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simulation was to show that the opt
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It is obvious from Figure 6-6 and F
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Chapter 7 Wireless-Enabled Lighting
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determined to be 0-2000 lux. Conseq
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discrete outputs from the motes spa
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actuation technologies, and additio
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Figure 7-8 Voltage divider. Since t
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Given the 256-level dimming capabil
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Figure 7-11 Prototyping Luminaire S
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to its simplicity. Although coded w
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The second experiment was executed
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Chapter 8 System Verification on Hu
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commercial system was randomized fo
Page 136 and 137: 8.2.1 Hardware Implementation in Sm
Page 138 and 139: eference point on the desktop was s
Page 140 and 141: commands were received. In addition
Page 142 and 143: were provided with three wireless p
Page 144 and 145: (a) Figure 8-6 Sensor placement of
Page 146 and 147: lower meter readings was that the m
Page 148 and 149: (2) Subtle and invisible shadows ma
Page 150 and 151: function keys are. The function key
Page 152 and 153: deliberately perturbed the lights d
Page 154 and 155: Table 8-2 Summary of the test on pr
Page 156 and 157: Current Level on the investigator
Page 158 and 159: Chapter 9 System Implementation and
Page 160 and 161: Figure 9-1 Floor plan of the small
Page 162 and 163: Figure 9-3 System operation diagram
Page 164 and 165: campus-wide lighting maintenance, w
Page 166 and 167: message is addressed. The destinati
Page 168 and 169: Both the actuation and the grouping
Page 170 and 171: The construction or updating of the
Page 172 and 173: determines if this message is for u
Page 174 and 175: Figure 9-12 Lighting preset setting
Page 176 and 177: Figure 9-13 Average hourly percent
Page 178 and 179: 9.4 Daylight Response The second ph
Page 180 and 181: Furthermore, the structure allows t
Page 182 and 183: Figure 9-16 Daylight harvesting tes
Page 184 and 185: Figure 9-18 Sensor readings in the
Page 190 and 191: Seven-occupant case with simulated
Page 194 and 195: under significant daylight. Again,
Page 196 and 197: newly calculated light settings may
Page 198 and 199: Annual energy consumption = ( Numbe
Page 200 and 201: Figure 9-30 Energy savings vs. payb
Page 202 and 203: have partially contributed to the h
Page 204 and 205: $40 per unit and the system achieve
Page 206 and 207: performance of the current research
Page 208 and 209: sensors. The research in [14] prese
Page 210 and 211: Other than optimizing the energy co
Page 212 and 213: lighting configuration in the offic
Page 214 and 215: communications. The adaptive sensin
Page 216 and 217: integration of the research system
Page 218 and 219: will broaden the application to dif
Page 220 and 221: system could be reallocated to oper
Page 222 and 223: entities could be tremendously crit
Page 224 and 225: [7] J. A. Veitch and G. R. Newsham,
Page 226 and 227: [20] K. A. Karmel, High Performance
Page 228 and 229: [34] P. Levis, S. Madden, J. Polast
Page 230 and 231: International Workshop on Wireless
Page 232 and 233: [57] LonMark International, "Fact S
Page 234 and 235: [71] S. Sahni and X. Xu, "Algorithm
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Proceedings of the 1st Internationa
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[99] SPOT: Sensor Placement + Optim
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[113] Advance Transformer Technical
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A.2 Circuit Schematics of Photosens
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A.4 Circuit Schematics of the Secon
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Appendix B Human Subject Test B.1 C
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(a) Sensor placement of subject No.
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B.2 Comparison of System Performanc
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B.3 Summary of the Responses from t
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B.4 Human Subject Test Approval Let
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B.5 Human Subject Test Protocol Nar
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B.7 Human Subject Test Questionnair
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B.8 Human Subject Test Interview Sc
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Luminaire surface depreciation: 1.0
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Table C-1 Daylight reception durati
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At the rate of 9.62 cents per kWh a
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