Design and Implementation of a Wireless Sensor Network for Intelligent Light Control

We present the design and implementation of the Illuminator, a preliminary sensor network-based intelligent light control system for entertainment and media production. Unlike most sensor network applications, which focus on sensing alone, a distinctive aspect of Illuminator is that it closes the loop from light sensing to lighting control. We describe the Illuminator's design requirements, system architecture, algorithms, implementation and experimental results. To satisfy the high-performance light sensing requirements of entertainment and media production applications, the system uses the Illumimote, which is a multi-modal and high fidelity light sensor module well-suited to wireless sensor networks. The Illuminator system is a toolset to characterize the illumination profile of a deployed set of fixed position lights, generate desired lighting effects for moving targets (actors, scenic elements, etc.) based on user constraints expressed in a formal language, and assist in the set up of lights to achieve the same illumination profile in multiple venues. After characterizing deployed lights, the Illuminator computes at run-time optimal light settings to achieve a user-specified actuation profile using an optimization framework based on a genetic algorithm Uniquely, it can use deployed sensors to incorporate changing ambient lighting conditions and moving targets into actuation. With experimental results, we demonstrate that the Illuminator handles various high-level user's constraints and generates optimal light actuation profile. These results suggest that our system should support entertainment and media production applications.

[1]  S. Sitharama Iyengar,et al.  Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks , 2002, IEEE Trans. Computers.

[2]  Mani B. Srivastava,et al.  Self aware actuation for fault repair in sensor networks , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[3]  R. Nowak,et al.  Backcasting: adaptive sampling for sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[4]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[5]  Mani B. Srivastava,et al.  Embedding expression: Pervasive computing architecture for art and entertainment , 2006, Pervasive Mob. Comput..

[6]  Acknowledgments , 2006, Molecular and Cellular Endocrinology.

[7]  J. Cohen,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulas , 1968 .

[8]  Andreas Krause,et al.  Intelligent light control using sensor networks , 2005, SenSys '05.

[9]  Heemin Park,et al.  Illumimote: Multimodal and High-Fidelity Light Sensor Module for Wireless Sensor Networks , 2007, IEEE Sensors Journal.

[10]  Parameswaran Ramanathan,et al.  Sensor Deployment Strategy for Detection of Targets Traversing a Region , 2003, Mob. Networks Appl..

[11]  Andreas Krause,et al.  Near-optimal sensor placements in Gaussian processes , 2005, ICML.

[12]  Krishnendu Chakrabarty,et al.  Sensor placement for effective coverage and surveillance in distributed sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[13]  Hari Balakrishnan,et al.  Tracking moving devices with the cricket location system , 2004, MobiSys '04.

[14]  Deborah Estrin,et al.  Augmenting film and video footage with sensor data , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[15]  Mani B. Srivastava,et al.  A dynamic operating system for sensor nodes , 2005, MobiSys '05.

[16]  Dan Boneh,et al.  On genetic algorithms , 1995, COLT '95.

[17]  Jeff Burke Dynamic Performance Spaces for Theater Production , 2002 .

[18]  Nige liH. Morgan Stage Lighting for Theatre Designers , 1995 .

[19]  Pramod K. Varshney,et al.  A distributed self spreading algorithm for mobile wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[20]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[21]  Mani B. Srivastava,et al.  Illumimote : Multi-Modal and High Fidelity Light Sensor Module for Wireless Sensor Networks , 2006 .

[22]  Krishnendu Chakrabarty,et al.  Uncertainty-aware sensor deployment algorithms for surveillance applications , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[23]  Thomas F. La Porta,et al.  A bidding protocol for deploying mobile sensors , 2003, 11th IEEE International Conference on Network Protocols, 2003. Proceedings..

[24]  Gaurav S. Sukhatme,et al.  Adaptive sampling for environmental field estimation using robotic sensors , 2004, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[25]  Prashant J. Shenoy,et al.  SEVA: Sensor-enhanced video annotation , 2009, TOMCCAP.

[26]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[27]  Miklós Maróti,et al.  Radio interferometric geolocation , 2005, SenSys '05.

[28]  Gaurav S. Sukhatme,et al.  Adaptive sampling for environmental robotics , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[29]  S. Sitharama Iyengar,et al.  Sensor placement for grid coverage under imprecise detections , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[30]  Gaurav S. Sukhatme,et al.  An Incremental Self-Deployment Algorithm for Mobile Sensor Networks , 2002, Auton. Robots.

[31]  Conclusions , 1989 .

[32]  M.B. Srivastava,et al.  A new light sensing module for Mica motes , 2005, IEEE Sensors, 2005..