DocumentCode :
3547157
Title :
A novel clustering method for animal trajectory analysis using Wireless Sensor Network
Author :
Quang Hiep Vu ; Thi Hong Nhan Vu ; Meijing Li ; Keun Ho Ryu
Author_Institution :
Database/Bioinf. Lab., Chungbuk Nat. Univ., Cheongju, South Korea
fYear :
2013
fDate :
2-4 Nov. 2013
Firstpage :
249
Lastpage :
255
Abstract :
Animal plays an important role in our Earth, researching the movements of animals is very helpful for us to conserve rare and precious species as well as food exploration. In this paper, we employ Wireless Sensor Networks (WSNs) with the potential for highly increased spatial and temporal resolution of measurement data. Hence WSNs promise enhanced tracking of animals without human intervention. To help experts making a better species and habitat assessment as well as conversation strategies, we propose an Extended Hierarchical Path clustering eHPCl method for analyzing the mobility of wild animals. A predictive mobility algorithm is also presented, which help experts solve the problems in data allocation and management. A system that simulates the mobility of animals is implemented. Performance of the proposed method is finally evaluated in terms of running time and estimation accuracy.
Keywords :
mobility management (mobile radio); object tracking; pattern clustering; wireless sensor networks; WSN; animal trajectory analysis; data allocation; data management; extended hierarchical path clustering eHPC1 method; food exploration; habitat assessment; predictive mobility algorithm; spatial resolution; temporal resolution; wireless sensor network; Accuracy; Animals; Base stations; Clustering algorithms; Prediction algorithms; Trajectory; Wireless sensor networks; Clustering methods; animal trajectory analysis; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 International Joint Conference on
Conference_Location :
Aizuwakamatsu
Type :
conf
DOI :
10.1109/ICAwST.2013.6765442
Filename :
6765442
Link To Document :
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