A New Position Updating Algorithm for Moving Objects

Authors:
Xinying Wang;Shengsheng Wang;Zhengxuan Wang;Tianyang Lv;Xizhe Zhang
Affiliations:
Jilin University, China;Jilin University, China;Jilin University, China;Jilin University, China;Jilin University, China
Venue:
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
Year:
2006

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A Kalman filter updating method for the indoor moving object database

Expert Systems with Applications: An International Journal

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Abstract

Continuous queries are important in moving objects databases and spatio-temporal reasoning .The traditional synchronous updating algorithms of moving object pervasively focus on improving queries' execution efficiency, while ignore the fact that the communication cost is also the bottleneck for improving query efficiency. We propose an asynchronous updating algorithm for continuous queries of moving objects. Three types of continuous range queries are discussed in the paper. Theoretical analysis and experiment results show that our algorithm substantially outperforms the traditional synchronous updating algorithms at aspects of monitoring accuracy, communication cost and CPU load balance.