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Shadi Al-Khateeb with signature.pdf (1014.17 KB)

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Fire Detection Using Wireless Sensor Networks

Al-Khateeb, Shadi A.
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1411471850

Abstract Details

2014, Master of Science in Engineering, Youngstown State University, Department of Electrical and Computer Engineering.
Fire threatens man, animals, plants and properties. So there should be a very adequate, fast, and easy to install alarm systems to avoid the fire consequences. A wireless sensor network (WSN) with multiple wireless sensor nodes and a base station for fire detection is presented. It is a low-cost, easy to construct, highly efficient, fast, and reliable wireless sensor network. Wireless nodes measure the temperature and light intensity in their surrounding areas. The temperature and light data from the wireless nodes are used to detect the fire event and then the system sounds an alarm. The wireless sensor nodes collect and send data continuously to the base station, which is connected to a computer. Software application has been developed in order to conduct the data mining of the wireless sensor network. The WSN has shown the efficiency of mining real time data, reliability, and its flexibility for expansion.
Frank Li, Ph.D. (Advisor)
Jalal Jalali, Ph.D. (Committee Member)
Faramarz Mossayebi, Ph.D. (Committee Member)
62 p.
Electrical Engineering
Fire detection; wireless sensors networks; sun SPOT; Network Topology

Recommended Citations

Citations

  • Al-Khateeb, S. A. (2014). Fire Detection Using Wireless Sensor Networks [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1411471850

    APA Style (7th edition)

  • Al-Khateeb, Shadi. Fire Detection Using Wireless Sensor Networks. 2014. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1411471850.

    MLA Style (8th edition)

  • Al-Khateeb, Shadi. "Fire Detection Using Wireless Sensor Networks." Master's thesis, Youngstown State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1411471850

    Chicago Manual of Style (17th edition)

ysu1411471850
2,273
© 2014, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.