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A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks

  • V. G. Gasull
  • D. F. Larios
  • J. Barbancho
  • C. León
  • M. S. Obaidat
Part of the Communications in Computer and Information Science book series (CCIS, volume 314)

Abstract

The study of forest fires has been traditionally considered as an important application due to the inherent danger that this entails. This phenomenon takes place in hostile regions of difficult access and large areas. Introduction of new technologies such as Wireless Sensor Networks (WSNs) has allowed us to monitor such areas. In this paper, an intelligent system for fire prediction based on wireless sensor networks is presented. This system obtains the probability of fire and fire behavior in a particular area. This information allows firefighters to obtain escape paths and determine strategies to fight the fire. A firefighter can access this information with a portable device on every node of the network. The system has been evaluated by simulation analysis and its implementation is being done in a real environment.

Keywords

Fuzzy System Wireless Sensor Networks Forest Fire Simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • V. G. Gasull
    • 1
  • D. F. Larios
    • 1
  • J. Barbancho
    • 1
  • C. León
    • 1
  • M. S. Obaidat
    • 2
  1. 1.Department of Electronic TechnologyUniversity of SevilleSevilleSpain
  2. 2.Department of Computer Science & Software EngineeringMonmouth UniversityW. Long BranchU.S.A.

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