標題: A storage management for mining object moving patterns in object tracking sensor networks
作者: Hung, Chih-Chieh
Peng, Wen-Chih
資訊工程學系
Department of Computer Science
公開日期: 2006
摘要: One promising application of sensor networks is object tracking. Because the movements of the tracked objects usually show repeating patterns, we propose a heterogeneous tracking model, referred to as HTM, to efficiently mine object moving patterns and track objects. To ensure the quality of moving patterns, we develop a storage management to facilitate mining object moving patterns. Specifically, we explore load-balance feature to store more moving data for mining moving patterns. Once a storage of a cluster head is occupied by moving data, we devise a replacement strategy to replace the less informative patterns. Simulation results show that HTM with storage management is able not only to increase the accuracy of predition but also to save more energy in tracking objects.
URI: http://hdl.handle.net/11536/17312
http://dx.doi.org/10.1109/WI-IATW.2006.20
ISBN: 978-0-7695-2749-9
DOI: 10.1109/WI-IATW.2006.20
期刊: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Workshops Proceedings
起始頁: 252
結束頁: 256
Appears in Collections:Conferences Paper


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