DocumentCode :
2085161
Title :
Encounter-based noise cancelation for cooperative trajectory mapping
Author :
Chang, Wei ; Wu, Jie ; Tan, Chiu C.
Author_Institution :
Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
fYear :
2012
fDate :
19-23 March 2012
Firstpage :
221
Lastpage :
226
Abstract :
Cooperative trajectory mapping is an emerging technique that allows users to create a map by using data collected from each participant´s mobile phones. Unlike the traditional localization problem, where GPS is usually required, cooperative mapping only requires information about the relative distance and direction from the previously reported position. In this paper, we consider the problem of measurement error, which is when the measurement error causes the spatial relations among users to be wrong, in cooperative trajectory mapping. We propose an encounter-based error canceling algorithm to efficiently reduce measurement errors. Extensive simulation experiments are performed to validate our solutions.
Keywords :
mobile computing; social networking (online); GPS; cooperative trajectory mapping; encounter-based error canceling algorithm; encounter-based noise cancelation; measurement error; mobile phones; mobile social network-based navigation system; Measurement errors; Noise; Routing; Sensors; Servers; Systematics; Trajectory; Cooperative trajectory mapping; encounter; measurement noise; mobile phones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2012 IEEE International Conference on
Conference_Location :
Lugano
Print_ISBN :
978-1-4673-0256-2
Electronic_ISBN :
978-1-4673-0257-9
Type :
conf
DOI :
10.1109/PerCom.2012.6199870
Filename :
6199870
Link To Document :
بازگشت