NCO-tree: a spatio-temporal access method for segment-based tracking of moving objects

  • Authors:
  • Yuelong Zhu;Xiang Ren;Jun Feng

  • Affiliations:
  • College of Computer & Information Engineering, Hohai University, Nanjing, Jiangsu, China;College of Computer & Information Engineering, Hohai University, Nanjing, Jiangsu, China;College of Computer & Information Engineering, Hohai University, Nanjing, Jiangsu, China

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2006

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Abstract

With the continued advances in wireless communications and geo-positioning, an infrastructure is emerging that enables location-based services which rely on the tracking of the continuously changing positions of entire populations of service users, termed moving objects. The main interest of these services is to efficiently store and query the positions of moving objects. To achieve this goal, index structures are required. In this paper we propose a new index structure for moving objects in networks: NCO-Tree. It efficiently supports the Segment-Based tracking approaches and its optimization. We give the structure description, insertion and search algorithms, then evaluate it with experiment.