The SMO-index: a succinct moving object structure for timestamp and interval queries

  • Authors:
  • Miguel Romero;Nieves Brisaboa;M. Andrea Rodríguez

  • Affiliations:
  • Universidad del Bío-Bío, Casilla, Chillán, Chile;Universidade da Coruña, A Coruña, España;Universidad de Concepción, Concepción, Chile

  • Venue:
  • Proceedings of the 20th International Conference on Advances in Geographic Information Systems
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents the Succinct Moving Object Index (SMO - Index) that pursues efficiency in storage and time of query processing for timestamp and interval queries. The data structure stores data and index together in a compact manner reducing the need of using external memory. It is based on a K2-tree to store snapshots of objects' location at some time instants, and on a compact representation of the movement of objects between consecutive snapshots. The experimental evaluation shows that the SMO-Index overcomes MVR-Tree in space used and time cost when objects constantly move at similar speed.