Intelligent Wireless Lighting Control using Wireless Sensor and Actuator Networks: A Survey

Minimizing energy usage and increasing occupant comfort are the two primary objectives of in- telligent and eco-friendly buildings. Energy savings of up to 70%, combined with significant occupant pro- ductivity gains are possible via the application of wireless sensor and actuator networks (WSAN). Despite the increasing interests in WSAN-based wireless intelligent lighting control, no prior survey work exists. In the paper, we aim to provide a holistic survey of various WSAN-based schemes for intelligent lighting control so that researchers interested in the field can gain up to date knowledge and inspiration for future research. Spe- cifically, an overview of various sensor data collection and management techniques relevant to lighting con- trol is provided; taxonomy of various intelligent decision making schemes for lighting control is detailed; moreover, open issues within this field are identified and future research directions are proposed.

[1]  Mohamed Abdelrahman,et al.  A methodology for the fusion of redundant sensors , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[2]  Wolfgang Kastner,et al.  Communication systems for building automation and control , 2005, Proceedings of the IEEE.

[3]  Eduardo F. Nakamura,et al.  Information fusion for wireless sensor networks: Methods, models, and classifications , 2007, CSUR.

[4]  B. Yegnanarayana,et al.  Artificial Neural Networks , 2004 .

[5]  Alice M. Agogino,et al.  Fuzzy Validation and Fusion for Wireless Sensor Networks , 2004 .

[6]  A. Agogino,et al.  Wireless Sensor Networks for Commercial Lighting Control : Decision Making with Multi-agent Systems , 2004 .

[7]  M. Miki,et al.  Proposal for an intelligent lighting system, and verification of control method effectiveness , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[8]  Alice M. Agogino,et al.  Towards Demand-Responsive Intelligent Lighting With Wireless Sensing and Actuation , 2004 .

[9]  David E. Culler,et al.  Extending IP to Low-Power, Wireless Personal Area Networks , 2008, IEEE Internet Computing.

[10]  Jessica Ann Granderson Human -centered sensor -based Bayesian control: Increased energy efficiency and user satisfaction in commercial lighting , 2007 .

[11]  Alex Delis,et al.  Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks , 2009, 2009 IEEE 25th International Conference on Data Engineering.

[12]  Carlos Guestrin,et al.  A robust architecture for distributed inference in sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[13]  Yukio Akashi,et al.  Detectability and Acceptability of Illuminance Reduction for Load Shedding , 2004 .

[14]  Anil K. Jain,et al.  Artificial Neural Networks: A Tutorial , 1996, Computer.

[15]  C FreryAlejandro,et al.  Information fusion for wireless sensor networks , 2007 .

[16]  Ren C. Luo,et al.  Multisensor fusion and integration: approaches, applications, and future research directions , 2002 .

[17]  Tomoyuki Hiroyasu,et al.  An evolutional optimization algorithm to provide individual illuminance in workplaces , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[18]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[19]  Cecilia Contenti Digitally addressable DALI dimming ballast , 2002, APEC. Seventeenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.02CH37335).

[20]  D. Dijk,et al.  Blue-enriched white light in the workplace improves self-reported alertness, performance and sleep quality. , 2008, Scandinavian journal of work, environment & health.

[21]  Suet-Fei Li,et al.  Wireless sensor actuator network for light monitoring and control application , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[22]  Manuel Mazo,et al.  On event-triggered and self-triggered control over sensor/actuator networks , 2008, 2008 47th IEEE Conference on Decision and Control.

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

[24]  Paul J. M. Havinga,et al.  D-FLER - A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks , 2007, UCS.

[25]  Yao-Jung Wen Wireless sensor and actuator networks for lighting energy efficiency and user satisfaction , 2008 .

[26]  Tomoyuki Hiroyasu,et al.  Distributed Control of Illuminance and Color Temperature in Intelligent Lighting System , 2010, ICAISC.

[27]  Shuang-Hua Yang,et al.  A zigbee-based home automation system , 2009, IEEE Transactions on Consumer Electronics.

[28]  Yu-Chee Tseng,et al.  A WSN-Based Intelligent Light Control System Considering User Activities and Profiles , 2008, IEEE Sensors Journal.

[29]  Yao-Jung Wen,et al.  Wireless networked lighting systems for optimizing energy savings and user satisfaction , 2008, 2008 IEEE Wireless Hive Networks Conference.

[30]  Yu-Chee Tseng,et al.  Autonomous Light Control by Wireless Sensor and Actuator Networks , 2010, IEEE Sensors Journal.

[31]  Heemin Park,et al.  Design and Implementation of a Wireless Sensor Network for Intelligent Light Control , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[32]  Alice M. Agogino,et al.  Towards embedded wireless-networked intelligent daylighting systems for commercial buildings , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[33]  Manuel Mazo,et al.  On self-triggered control for linear systems: Guarantees and complexity , 2009, 2009 European Control Conference (ECC).

[34]  Takeshi Nishida,et al.  Construction of Intelligent Lighting System Providing Desired Illuminance Distributions in Actual Office Environment , 2010, ICAISC.

[35]  Mohamed Abdelrahman,et al.  Fuzzy rules for automated sensor self-validation and confidence measure , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[36]  Abdalkarim Awad,et al.  Sensor/Actuator Networks in Smart Homes for Supporting Elderly and Handicapped People , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[37]  Jose A. Gutierrez On the use of IEEE 802.15.4 to enable wireless sensor networks in building automation , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[38]  Tomoyuki Hiroyasu,et al.  Optimization of the Height of Height-Adjustable Luminaire for Intelligent Lighting System , 2010, ICAISC.