摘要
将物联网原有质心定位算法进行改进,引入加权质心定位算法。根据林业数据监测的物联网体系结构,对监测森林火灾的传感器定位算法进行研究。通过传感节点的权值,计算火点发生地的横纵坐标,加速火场定位。为火灾监测的火点定位提供了有力的定位依据,最大程度地预防和减少森林火灾及其造成的损失。
The original centroid localization algorithm for the internet of things is improved by means of the introduction of the weighted centroid location algorithm. The sensor location algorithm for monitoring forest fires is studied according to the structure of internet of things for forest data monitoring. The horizontal and vertical coordinates of a fire point could be calculated by the weight of the sensor node, and then the quick positioning for the fire point could be realized. The algorithm provides a strong basis for fire point positioning in forest fire monitoring, which can prevent or reduce forest fires and the resulting loss.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2011年第8期131-133,共3页
Journal of Northeast Forestry University
关键词
物联网
森林火灾
加权质心定位
Internet of things
Forest fires
Weighted centroid localization