Title :
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
Author :
Hung, Chih-Chieh ; Peng, Wen-Chih
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
Abstract :
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 prediction but also to save more energy in tracking objects
Keywords :
data mining; resource allocation; storage management; wireless sensor networks; load-balance feature; mining object moving patterns; object tracking sensor networks; storage management; wireless sensor networks; Animals; Application software; Computer network management; Computer science; Data mining; Energy conservation; Humans; Intelligent agent; Quality management; Tracking;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology Workshops, 2006. WI-IAT 2006 Workshops. 2006 IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2749-3
DOI :
10.1109/WI-IATW.2006.20