Energy saving effects of wireless sensor networks: A case study of convenience stores in Taiwan

Sensors

Volumn 11, Issue 2, 2011, Pages 2013-2034

  Chen, Chih Sheng ^a   Lee, Da Sheng ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

CFD; Marginal energy conservation benefit; PMV; WSN

Indexed keywords

AIR CONDITIONING; ARTICLE; COMMERCIAL PHENOMENA; COMPUTER NETWORK; COMPUTER SIMULATION; ECONOMICS; ELECTRICITY; ENERGY CONSERVATION; HUMAN; HYDRODYNAMICS; INSTRUMENTATION; TAIWAN; THERMODYNAMICS; WIRELESS COMMUNICATION;

AIR CONDITIONING; COMMERCE; COMPUTER COMMUNICATION NETWORKS; COMPUTER SIMULATION; CONSERVATION OF ENERGY RESOURCES; ELECTRICITY; HUMANS; HYDRODYNAMICS; TAIWAN; THERMODYNAMICS; WIRELESS TECHNOLOGY;

EID: 79952075013     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s110202013     Document Type: Article

References (31)

1. Shwe, H.Y.; Jiang X.H.; Horiguchi, S. Energy saving in wireless sensor networks. Comm. Comput. 2009, 6, 20-28.
2. Pensas, H.; Raula, H.; Vanhala, J. Energy efficient sensor network with service discovery for smart home environments. Sensor technologies and applications. In Proceedings of the 3rd International Conference on Sensor Technologies and Applications, Athens, Greece, 18-23 June 2009; pp. 399-404.
3. Yeh, L.W.; Wang, Y.C.; Tseng, Y.C. iPower: An energy conservation system for intelligent buildings by wireless sensor networks. Sens. Netw. 2009, 5, 1-10.
4. Yurish, S.Y.; Kirianaki, N.V.; Myshkin, I.L. World sensors and MEMS markets: Analysis and trends. Sens. Transducers Mag. 2005, 62, 456-461.
5. Viswanathan, R.; Varshney, P.K. Distributed detection with multiple sensors: Part I-fundamentals. Proc. IEEE 1997, 85, 54-63.
6. Tang, Z.B.; Pattipati, K.R.; Kleinman, D.L. Optimization of distributed detection networks: Part II generalized tree structures. IEEE Trans. Syst. Man Cybern. 1993, 23, 211-221.
7. Megalooikonomou, V.; Yesha, Y. Quantizer design for distributed estimation with communication constraints and unknown observation statistics. IEEE Trans. Commun. 2000, 48, 181-184.
8. Pados, D.A.; Halford, K.W.; Kazakos, D.; Papantoni-Kazakos, P. Distributed binary hypothesis testing with feedback. IEEE Trans. Syst. Man Cybern. 1995, 25, 21-42.
9. Thomopoulos, S.C.A.; Zhang, L. Distributed decision fusion with networking delays and channel errors. Inform. Sci. 1992, 66, 91-118.
10. Rowe, D.M. Thermoelectrics, an environmentally-friendly source of electrical power. Renewable Energy 1999, 1, 1251-1256.
11. Sodano, H.A.; Inman, D.J.; Park, G. A review of power harvesting from vibration using piezoelectric materials. Shock Vib. Dig. 2004, 36, 197-205.
12. Torres, E.O.; Rincsn-Mora, G.A. Energy-harvesting chips: The quest for everlasting life. Available online: http://www.powerdesignindia.co.in/STATIC/PDF/200807/PDIOL_2008JUL25_GREEN_TA_01.pdf?SOURCES=DOWNLOAD (accessed on 9 February 2011).
13. Lee, D.S. Development of light powered sensor networks for thermal comfort measurement. Sensors 2008, 8, 6417-6432.
14. Lee, D.S. Energy harvesting chip and the chip based power supply development for a wireless sensor network. Sensors 2008, 8, 7690-7714.
15. Chen, C.S.; Chang, L.C.; Lee, D.S. Wireless sensor network applied to thermal comfort of convenient stores customers and monitor the air-conditioning power. In Proceedings of 5th Asian Conference on Refrigeration and Air-conditioning Proceedings of 5th ACRA, Tokyo, Japan, 7-9 June 2010.
16. Tse, W.L.; Chan, W.L. Real-time measurement of thermal comfort. Measurement 2007, 40, 654-664.
17. Kolokotsa, D.; Saridakis, G.; Pouliezos, A.; Stavrakakis, G.S. Design and installation of an advanced EIB™ fuzzy indoor comfort controller using Matlab™. Energ. Buildings 2006, 38, 1084-1092.
18. Wang, N.; Zhang, N.; Wang, M. Wireless sensors in agriculture and food industry-Recent development and future perspective. Comput. Electron. Agr. 2006, 50, 1-14.
19. Yamagata, Y.; Kumagai, T.; Sai, Y.; Uchida, Y.; Imai, K. A sensor powered by pulsed light. In Proceedings of, International Conf. on Solid-State Sensors and Actuators, Digest of Technical Papers, TRANSDUCERS '91, Tokyo, Japan, 24-27 June 1991; pp. 824-827.
20. McLyman, C.W.T. Transformer and Inductor Design Handbook; Marcel Dekker: New York, NY, USA, 2004.
21. National Semiconductor. LM135/LM235/LM335, LM135A/LM235A/LM335A Precision Temperature Sensors; Available online: http://www.jaycar.com.au/images_uploaded/LM135.pdf (accessed on 9 February 2011).
22. Phidgets. 1127-Precision Light Sensor. Available online: http://www.phidgets.com/documentation/Phidgets/1127.pdf (accessed on 9 February 2011).
23. Chang, L.C.; Deng, Y.W.; Lee D.S.; Chen, C.S. Development of a high resolution CMOS flow sensor. In Proceedings of 1st IEEE-NEMS Conference, Zhuhai, China, 18-21 January 2006; pp. 125-126.
24. Burg, J.P. Maximum entropy spectral analysis. Presented at The 37th Annual International SEG Meeting, Oklahoma City, OH, USA, 1 November 1967.
25. Fanger, P.O. Thermal Comfort; McGraw-Hill: New York, NY, USA, 1972.
26. International Standards Organization. Moderate Thermal Environment Determinations of PMV and PPD Indices and Specifications for the Conditions of Thermal Comfort; ISO standard 7730; ISO: Geneva, Switzerland, 1995.
27. ASHRAE. Thermal Environmental Conditions for Human Occupancy, American Society of Heating, Refrigerating and Air-Conditioning Engineers; ANSI/ASHRAE Standard 55-2004; ASHRAE: Atlanta, GA, USA, 2004.
28. Fergus, N. Survey of Thermal Comfort in Pakistan: Towards New Indoor Air Temperature Standards; Oxford Brookes University: Oxford, UK, 1994.
29. Kang, J.; Park, S. Integrated comfort sensing system on indoor climate. Sens. Actuat. A 2000, 82, 302-307.
30. Airpak 3.0 User's Guide; Fluent Inc.: Alex City, AL, USA, 2007.
31. Bureau of Energy. The Convenient Stores' Saving Energy Technology Manual; Bureau of Energy, Ministry of Economic Affairs: Taipei, Taiwan, 2001.