会议专题

IMPROVED MOVING OBJECTS INDEXING MODEL IN MOBILE COMPUTING ENVIRONMENT

When we take cognizance of the regular track of moving objects within a limited area, we put forward an improved moving objects indexing model in mobile computing environment based on Time-Parameterized R-tree (GG TPR-tree). With the GG TPR-tree, we can index moving objects which are neighbors and will run to the same direction in the future to improve the efficiency. So, we put forward the indexing model for the moving objects, and moving objects indexing maintenance algorithm and moving objects indexing update algorithm. Experimental results show that the performance of GG TPR-trees indexing moving inexing is better than the other indexing model on managing a great capacity of moving objects within a limited area.

moving objects index model mobile computing environment

Ye Liang

Department of Computer Science,Beijing Foreign Studies University, Beijing, China

国际会议

2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

北京

英文

139-143

2011-09-15(万方平台首次上网日期,不代表论文的发表时间)