@Article{jiot.2019.05897,
AUTHOR = {Haoran  Zhu, Demin  Gao, Shuo  Zhang},
TITLE = {A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks},
JOURNAL = {Journal on Internet of Things},
VOLUME = {1},
YEAR = {2019},
NUMBER = {1},
PAGES = {25--31},
URL = {http://www.techscience.com/jiot/v1n1/28984},
ISSN = {2579-0080},
ABSTRACT = {Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, where a fire hazard index can be calculated.},
DOI = {10.32604/jiot.2019.05897}
}