Providing an Efficient Method Based on Clustering Using Sensor Networks for Detection of Critical Crisis and Susceptible Fires in the Forest

Mehdi Baboli¹ Siamak Shoeibi² Sanaz Seifi³

1) Dept. of Electronics & Computer Eng. Faculty of Electrical Engineering, ARYAN Institute of Science and Technology, Babol, Iran
2) Telecommunication Company of Iran(TCI) – Training and R&D Manager, Mazandaran, Iran And International Consultant of Aryan University, Mazandaran, Iran
3) Doctoral student at University of Applied Sciences (FHM) and Worcester University of Berlin, Germany

Publication : International Congress On Engineering, Technology and Innovation(eticong.com/1st)
Abstract :
Today, workplaces such as refineries or natural places, such as forests, forest parks are heavily exposed to fire. By controlling the ambient temperature, humidity, carbon dioxide, etc. in different parts of the monitoring area by a wireless sensor network (WSN), we will have the ability to be informed of the source of the fire before the release of the fire and its spread to the rest of the site take action. Monitoring the environment is one of the most important challenges in the wireless sensor network. Wireless sensor nodes are installed in different parts of the forest in order to measure temperature, humidity and carbon dioxide concentration, and send information with high precision to the base station without the need for a central controller. An important issue in this type of regulatory environment like forests is that, basically, access to sensors is not easy, so if the sensors are shut down, it is either impossible or hard to reassign sensors. This paper not only addresses the issue of detecting and detecting real-time fire, but also limits the energy consumption of sensor nodes. The proposed proposal is a two-stage plan, in its first phase, a number of sensor nodes are selected based on maximizing the remaining network energy and identifying critical and fire-critical points for the initial detection of the fire as well as the decision-making node. In the second phase of this project, due to the initial fire detection in the first phase, the final detection of fire will be done by selecting appropriate sensors based on minimizing network energy consumption and maintaining network reliability. Simulation results show that the proposed dual-phase algorithm significantly reduces network power consumption and network lifetime compared to standard algorithms.
Keywords : Wireless sensor network Fire detection in forest environment Prolonged fire area Select the cluster Optimal node selection