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Wireless Communications and Mobile Computing
Volume 2018, Article ID 8235127, 11 pages
https://doi.org/10.1155/2018/8235127
Research Article

Intelligent Smoke Alarm System with Wireless Sensor Network Using ZigBee

1Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
2School of Computer Science, Chengdu University of Information Technology, Chengdu, China
3Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
4The Chinese University of Hong Kong, Shatin, Hong Kong

Correspondence should be addressed to Shin-Ming Cheng; wt.ude.tsutn.liam@gnehcms and Jun Cheng; nc.ca.tais@gnehc.nuj

Received 24 September 2017; Revised 28 December 2017; Accepted 17 January 2018; Published 22 March 2018

Academic Editor: Kun Bai

Copyright © 2018 Qin Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. Hu, T. H. S. Chu, H. C. B. Chan, and V. C. M. Leung, “Vita: a crowdsensing-oriented mobile cyber-physical system,” IEEE Transactions on Emerging Topics in Computing, vol. 1, no. 1, pp. 148–165, 2013. View at Publisher · View at Google Scholar
  2. M. Yang and C. Zhang, “Smoke Alarm System,” Wireless, vol. 9, pp. 50-51, 2006. View at Google Scholar
  3. X. Hu, J. Zhao, B.-C. Seet, V. C. M. Leung, T. H. S. Chu, and H. Chan, “S-aframe: agent-based multilayer framework with context-aware semantic service for vehicular social networks,” IEEE Transactions on Emerging Topics in Computing, vol. 3, no. 1, pp. 44–63, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Guo, X. Hu, B. Hu, J. Cheng, M. Zhou, and R. Y. Kwok, “Mobile cyber physical systems: current challenges and future networking applications,” IEEE Access, no. 99, pp. 1–1, 2017. View at Publisher · View at Google Scholar
  5. M. Ahrens, US Experience with Smoke Alarms and Other Fire Detection/Alarm Equipment, NFPA, Quincy, MA, USA, 2004.
  6. J. E. Parmer, P. S. Corso, and M. F. Ballesteros, “A cost analysis of a smoke alarm installation and fire safety education program,” Journal of Safety Research, vol. 37, no. 4, pp. 367–373, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. A. H. Buchanan and A. K. Abu, Structural Design for Fire Safety, John Wiley & Sons, 2017.
  8. S. R. Turns, An Introduction to Combustion, vol. 287, McGraw-hill, New York, NY, USA, 1996.
  9. J. Warnatz, U. Maas, and R. W. Dibble, Combustion, Springer, Berlin, Germany, 2012.
  10. J. Li, X. Zhu, N. Tang, and J. Sui, “Study on ZigBee network architecture and routing algorithm,” in Proceedings of the 2010 2nd International Conference on Signal Processing Systems (ICSPS), vol. 2, pp. 2–389, IEEE, 2010.
  11. P. B. Brazdil and C. Soares, “A comparison of ranking methods for classification algorithm selection,” in Proceedings of the European conference on machine learning, pp. 63–75, Springer, Berlin, Germany, 2000.
  12. C. Cortes and V. Vapnik, “Support-vector networks,” Machine Learning, vol. 20, no. 3, pp. 273–297, 1995. View at Publisher · View at Google Scholar · View at Scopus
  13. J. A. K. Suykens and J. Vandewalle, “Least squares support vector machine classifiers,” Neural Processing Letters, vol. 9, no. 3, pp. 293–300, 1999. View at Publisher · View at Google Scholar · View at Scopus
  14. T. M. Mitchell, Machine Learning, vol. 45, McGraw Hill, Burr Ridge, IL, USA, 1997.
  15. J. R. Quinlan, “Induction of decision trees,” Machine Learning, vol. 1, no. 1, pp. 81–106, 1986. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Liaw and M. Wiener, “Classification and regression by random forest,” The R Journal, vol. 2, no. 3, pp. 18–22, 2002. View at Google Scholar
  17. L. Breiman, “Bagging predictors,” Machine Learning, vol. 24, no. 2, pp. 123–140, 1996. View at Google Scholar · View at Scopus
  18. Z. Ning, X. Hu, Z. Chen et al., “A cooperative quality-aware service access system for social internet of vehicles,” IEEE Internet of Things Journal, pp. 1–1. View at Publisher · View at Google Scholar
  19. X. Hu, V. C. Leung, Y. Kwok et al., “SAfeDJ: a Crowd-Cloud Co-design Approach to Situation-aware Music Delivery for Drivers,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 12, no. 1s, p. 21, 2015. View at Publisher · View at Google Scholar
  20. W. A. Arbaugh, Real 802.11 security: Wi-Fi protected access and 802.11 i, Addison-Wesley Longman Publishing Co., Inc., 2003.
  21. How It Works | Bluetooth Technology Website, 2017, from https://www.bluetooth.com/what-is-bluetooth-technology/how-it-works.
  22. N. A. Somani and Y. Patel, “Zigbee: A low power wireless technology for industrial applications,” International Journal of Control Theory and Computer Modelling (IJCTCM), vol. 2, pp. 27–33.
  23. M. Knight, “How safe is Z-Wave? [Wireless standards],” IET Computing and Control Engineering, vol. 17, no. 6, pp. 18–23, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. S. Tree, Wireless sensor networks. Self, 1(R2), C0.CC2630 SimpleLink™ 6LoWPAN, ZigBee® Wireless MCU, 2014, http://www.ti.com/lit/ds/swrs177b/swrs177b.pdf.
  25. Home Smoke Alarms A Technology Roadmap. (2012). cpsc.gov. Retrieved 4 June 2017, from https://www.cpsc.gov/s3fs-public/homesmokealarm.pdf.
  26. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393–422, 2002. View at Publisher · View at Google Scholar · View at Scopus
  27. BMP180, “Bosch-sensortec.com,” 2017, https://www.bosch-sensortec.com/bst/products/all_products/bmp180.
  28. C. Strobl, A.-L. Boulesteix, A. Zeileis, and T. Hothorn, “Bias in random forest variable importance measures: illustrations, sources and a solution,” BMC Bioinformatics, vol. 8, article 25, 2007. View at Publisher · View at Google Scholar · View at Scopus
  29. D. Robotics, “DHT11 Humidity & Temperature Sensor,” ECharts · Doc, 2017, http://echarts.baidu.com/echarts2/doc/doc-en.html.
  30. J. S. Lee, Y. W. Su, and C. C. Shen, “A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi,” in Proceedings of the 33rd Annual Conference of the IEEEIndustrial Electronics Society, IECON 2007, pp. 46–51, IEEE, 2007.
  31. “UCI Machine Learning Repository: Cardiotocography Data Set,” 2017, from http://archive.ics.uci.edu/ml/datasets/Cardiotocography.
  32. G. Yao, B. Zhuang, D. Zhao, and X. Huo, “Design of intelligent home system based on ZigBee wireless technology,” Modern Electronics Technique, vol. 39, no. 22, pp. 81–84, 2016. View at Google Scholar
  33. K. Fukunaga and P. M. Narendra, “A Branch and Bound Algorithm for Computing k-Nearest Neighbors,” IEEE Transactions on Computers, vol. C-24, no. 7, pp. 750–753, 1975. View at Publisher · View at Google Scholar · View at Scopus