It is important to quantify and analyze forest spatial patterns for studying biological characteristics,population interaction and the relationship between the population and environment.In this study,the forest spati...It is important to quantify and analyze forest spatial patterns for studying biological characteristics,population interaction and the relationship between the population and environment.In this study,the forest spatial structure unit was generated based on the Delaunay triangulation model(DTM),and the weights were generated using the comprehensive values of the tree diameter at breast height,total height and crown width.The distance between neighbors determined by the DTM was weighted to transform the original coordinates of trees into logical coordinates.Then,a weighted spatial pattern(WSP)was developed.After weighting,the neighboring trees were replaced,the replacement ratio was 38.3%,and there was 57.4%of the central tree.Correlation analysis showed that the uniform angle index of the WSP was significantly correlated with the tree size standard deviation under uniformity(r=0.932)and randomness(r=0.711).The DTM method not only considers the spatial distance between trees,but also considers the non-spatial attributes of trees.By changing the spatial topological relation between trees,this method further improves the spatial structure measurement of forest.展开更多
为同时满足覆盖与节能应用需求,本文提出了无线传感器网络中一种最小刚性拓扑控制算法MRTc(Minimal rigid topology control algorithm based on Voronoi coverage and Delaunay triangulation).该算法基于Voronoi覆盖机制,准确控制节...为同时满足覆盖与节能应用需求,本文提出了无线传感器网络中一种最小刚性拓扑控制算法MRTc(Minimal rigid topology control algorithm based on Voronoi coverage and Delaunay triangulation).该算法基于Voronoi覆盖机制,准确控制节点工作状态,实现活动节点对目标区域的完全覆盖.在此基础上,MRTc利用Delaunay三角剖分图的特点,构建出适用于无线传感器网络的最小刚性拓扑结构.该结构有效约束了网络平均节点度,且同时具有容错性、覆盖性和稀疏性.此外,MRTc引入节点功率控制策略,在维持网络完全覆盖的基础上最小化节点能耗.仿真结果进一步验证了本文提出的MRTc算法的有效性.展开更多
基金funded by National Natural Science Foundation of China(31570627)Hunan Forestry Science and Technology Project(XLK201740)+1 种基金Hunan Science and Technology Innovation Platform and Talent Plan(2017TP1022)Hunan Science and Technology Plan Project(2015WK3017)。
文摘It is important to quantify and analyze forest spatial patterns for studying biological characteristics,population interaction and the relationship between the population and environment.In this study,the forest spatial structure unit was generated based on the Delaunay triangulation model(DTM),and the weights were generated using the comprehensive values of the tree diameter at breast height,total height and crown width.The distance between neighbors determined by the DTM was weighted to transform the original coordinates of trees into logical coordinates.Then,a weighted spatial pattern(WSP)was developed.After weighting,the neighboring trees were replaced,the replacement ratio was 38.3%,and there was 57.4%of the central tree.Correlation analysis showed that the uniform angle index of the WSP was significantly correlated with the tree size standard deviation under uniformity(r=0.932)and randomness(r=0.711).The DTM method not only considers the spatial distance between trees,but also considers the non-spatial attributes of trees.By changing the spatial topological relation between trees,this method further improves the spatial structure measurement of forest.
文摘为同时满足覆盖与节能应用需求,本文提出了无线传感器网络中一种最小刚性拓扑控制算法MRTc(Minimal rigid topology control algorithm based on Voronoi coverage and Delaunay triangulation).该算法基于Voronoi覆盖机制,准确控制节点工作状态,实现活动节点对目标区域的完全覆盖.在此基础上,MRTc利用Delaunay三角剖分图的特点,构建出适用于无线传感器网络的最小刚性拓扑结构.该结构有效约束了网络平均节点度,且同时具有容错性、覆盖性和稀疏性.此外,MRTc引入节点功率控制策略,在维持网络完全覆盖的基础上最小化节点能耗.仿真结果进一步验证了本文提出的MRTc算法的有效性.
