Tracking data management of spatial DBMS using topology for location-based services

  • Authors:

  • Soon-Young Park;Warnil Chung;Chung-Ho Lee;Hae-Young Bae

  • Affiliations:

  • Dept. of Computer Science and Information Engineering, Inha University, Incheon, Korea;Internet Server Technology Group, Electronics and Telecommunications Research, Institute, Daejeon, Korea;Internet Server Technology Group, Electronics and Telecommunications Research, Institute, Daejeon, Korea;Dept. of Computer Science and Information Engineering, Inha University, Incheon, Korea

  • Venue:
  • HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
  • Year:
  • 2005

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Abstract

With the rapid advances of wireless and positioning technologies, an interest in LBS (Location-Based Services) is gradually rising. To provide LBS, tracking data should have been stored in database with the proper policies and managed efficiently. In this paper, tracking data management technique using topology is proposed. Tracking data is corresponded to the moving path of an object. In proposed technique, database is updated when moving object arrived at a street intersection or a curved road which is represented as the node in topology and we can predict the location at past and future with attribute of topology and linear function. In this technique, location data that are correspond to the node in topology are stored, thus reduce the number of updates of data. Also as using topology as well as existing location information, accuracy for prediction of location is increased than applying only linear function or spline function.