@Article{jiot.2019.05897, AUTHOR = {Haoran Zhu, Demin Gao,2, 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} }