摘要： 为实现不同地理维数数据类型的合理融合，提出一种基于通用搜索树(GiST)的分簇拓扑结构。利用叶节点的位置信息建立簇，通过GiST体系结构算法对区域内的所有簇进行分块组织，建立树形拓扑结构。仿真结果表明，GiST体系结构算法具有良好的多维特性，可快速进行不同维数结构间的融合。建立的结构与其他拓扑结构相比，网络传输效率较高，网络生命周期较长。

关键词: 通用搜索树, 多维融合, 无线传感器网络, 环境监测, 拓扑结构

Abstract: In order to make the fusion of different geographic dimension of data types reasonable, this paper proposes a Generic Search Tree(GiST) structure based on the sub-cluster topology. It uses the location information to establish node cluster, and uses GiST algorithm to cluster in the region to block all organizations and the establishment of tree topology. Simulation results show that this system based on GiST structure has a good multi-dimensional characteristics. It has better performance than other topologies.

Key words: Generalized Search Tree(GiST), multi-dimensional fusion, Wireless Sensor Network(WSN), environmental monitoring, topological structure

中图分类号: 

• TP393