Master of Science in Engineering, Youngstown State University, 2014, Rayen School of 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.

Committee: Frank Li Ph.D. (Advisor); Jalal Jalali Ph.D. (Committee Member); Faramarz Mossayebi Ph.D. (Committee Member) Subjects: Electrical Engineering

Master of Science in Engineering, Youngstown State University, 2010, Rayen School of Engineering

A wireless sensor mesh network for health monitoring of structures is presented. It is a low cost, easy to deploy, fast and reliable wireless sensor network. Wireless nodes are all identical to each other with on board sensors for measuring acceleration and temperature. The acceleration data from the nodes used to detect the strain of the structure was calibrated using a Vishay P3 strain gauge instrument. These sensor nodes can collect data as well as relay the data of the neighboring nodes. Data from all the nodes reaches the base station through multiple hop relays. The nodes were tested for their performance by using different frequency channels and radio output power levels. This network implements an energy efficient routing protocol which can also handle a node failure in route without losing data. Different power conservation techniques were discussed which can keep the network unattended for a week after being deployed on the structure.

Committee: Frank Li PhD (Advisor); Philip Munro PhD (Committee Member); Faramarz Mossayebi PhD (Committee Member) Subjects: Civil Engineering; Computer Science; Electrical Engineering; Engineering