The Positioning Algorithm Research for Forest Fire Prediction

Dan Liu, Yanrong Zhang
2014 International Journal of Smart Home  
In order to precisely predict the location of forest fire, a new algorithm based on improvement of gravity center scan method is introduced in this paper. The new algorithm suppressed error rate of InToOut and OutToIn. By using the neighbor nodes around the unknown nodes, it solved the problem of less signal flag nodes around unknown nodes, furthermore, it improved the coverage of nodes and suppressed error rate the location of node. The simulation result shows that, along with the increment of
more » ... the density of signal flag nodes, the error rate of location of unknown nodes is gradually decreasing. In networks with limited signal flag nodes, the new algorithm based on improved gravity scan suppressed the error rate by 40%, compared with previous gravity scanning algorithm, which dramatically improved the precision of location. Keywords: wireless sensor network, forest fire prediction, positioning algorithm, gravity scanning algorithm Forest fire prediction focuses on prediction accuracy and fast prediction, you need to take advantage of wireless sensor positioning algorithm to reduce the positioning error rate. This article will study wireless sensor positioning algorithm by comparison and positioning algorithms to further enhance forest fire prediction the occurrence of positioning accuracy, thus providing a good algorithm to support forest fire forecast.
doi:10.14257/ijsh.2014.8.3.17 fatcat:4ww5j7girbfevgrnu742y4cscq