DocumentCode :
2671524
Title :
A Methodology to Predicate Human-Being´s Movement Based on Movement Group
Author :
Guo, Zhe ; Yan, Zheng ; Wang, Furong
Author_Institution :
Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2010
fDate :
18-20 Dec. 2010
Firstpage :
612
Lastpage :
619
Abstract :
Individual mobility is a popular research topic in mobile communications. One interesting question is: is the movement of human-beings independent although they may not want to follow with each other? This paper explores the phenomenon of group movement by analyzing the traffic variance among cellular base stations. We find that the entropy of group movement is less than the sum of individual´s and the trajectory of group movement is somehow steady. Applying this conclusion, we proposed a methodology to predict a user´s location based on group movement. Our verification based on real mobile user data shows that this method has sound accuracy.
Keywords :
mobile computing; cellular base stations; human-being movement predication; individual mobility; mobile communications; movement group; traffic variance; user location; Conferences; Social network services; entropy; location prediction; movement group; real data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9779-9
Electronic_ISBN :
978-0-7695-4331-4
Type :
conf
DOI :
10.1109/GreenCom-CPSCom.2010.65
Filename :
5724895
Link To Document :
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