Indexing moving objects based on 2 n index tree

  • Authors:
  • Huanzhuo Ye;Hongxia Luo;Kezhen Song;Huali Xiang;Jing Chen

  • Affiliations:
  • Information School, Zhongnan University of Economics and Law, Wuhan, Hubei Province, P. R. China;School of Geographical Sciences, Southwest University, Chongqing, P. R. China;Information School, Zhongnan University of Economics and Law, Wuhan, Hubei Province, P. R. China;Information School, Zhongnan University of Economics and Law, Wuhan, Hubei Province, P. R. China;State Key Laboratory of Information Engineering in Surveying and Mapping, Wuhan University, Wuhan, Hubei Province, P. R. China

  • Venue:
  • AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
  • Year:
  • 2007

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Abstract

In moving objects information management, Motion state model (MSM) is based on sample method and suits to most applications. Because of its characters, 2n index tree is proposed to organize the motion data. In order to increase the efficiency of indexing, some issues such as late updating of leaf node splitting and merging, pre-query before the query of objects relation and the reference of motion vectors in index tree are carefully studied. Comparing to other indexing method, 2n index tree works better with MSM.