IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety

Abstract

Fires usually occur in homes because of carelessness and changes in environmental conditions. They cause threats to the residential community and may result in human death and property damage. Consequently, house fires must be detected early to prevent these types of threats. The immediate notification of a fire is the most critical issue in domestic fire detection systems. Fire detection systems using wireless sensor networks sometimes do not detect a fire as a consequence of sensor failure. Wireless sensor networks (WSN) consist of tiny, cheap, and low-power sensor devices that have the ability to sense the environment and can provide real-time fire detection with high accuracy. In this paper, we designed and evaluated a wireless sensor network using multiple sensors for early detection of house fires. In addition, we used the Global System for Mobile Communications (GSM) to avoid false alarms. To test the results of our fire detection system, we simulated a fire in a smart home using the Fire Dynamics Simulator and a language program. The simulation results showed that our system is able to detect early fire, even when a sensor is not working, while keeping the energy consumption of the sensors at an acceptable level.

Smart Home Systems Based on Internet of Things

“…In [5] they designed a wireless sensor network for early detection of house fires. They simulated a fire in a smart home using the fire dynamics simulator and a language program.…”

“…Jian Mao et al [4] enhance machine learning algorithms to play a role in the security in a smart home ecosystem. Faisal Saeed et al [5] propose using sensors to sense and provide in real-time, fire detection with high accuracy.…”

Smart Disaster Response in Vehicular Tunnels: Technologies for Search and Rescue Applications

“…[21], a mobile rescue robot was employed to explore and monitor the nuclear accident at the Fukushima power plant; this study revealed that reliable communication between the operator and robot system is crucial to gather internal information. This means that interworking and communication with the previously mentioned IoT devices is important [22]. Kim et al [23] proposed a portable fire evacuation guide robot system; it gathers temperature, O 2 and CO gas information through wireless communication.…”

Exploiting Small World Problems in a SIoT Environment

“…For instance, the currently used Internet of Things, which works as a local network of objects such as Machine-to-Machine (M2M), Wireless Sensor Networks (WSNs), smart homes, etc., can only obtain information from a specific region [34,[38][39][40]. The IoT provides more comprehensive, large-scale, and antique information of the surrounding by collaborating a diverse intranet of things, even though the devices have heterogeneity, local communication protocols, device mobility in the clustering, and different deployment technologies [39,41,42].…”

“…IoT devices generate massive amounts of real-time data and information on the physical world, therefore, dealing with that real-time data in smart cities (i.e., public health care, transportation, fire sensors, etc.) [32][33][34] and dealing with high-speed big data are still very big challenges [35,36]. The SIoT system empowers the IoT devices to connect globally with each other to share information and services.…”