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A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks

10 years 5 months ago
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
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.
Chih-Chieh Hung, Wen-Chih Peng
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where IAT
Authors Chih-Chieh Hung, Wen-Chih Peng
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