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Title:
the trajectory exposure problem in location-aware mobile networking
Author: Ma Li ; Liu Jiangchuan ; Sun Limin ; Karimi Ouldooz Baghban
Source: Proceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
Conference Name: 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
Conference Date: October 17
Issued Date: 2011
Conference Place: Valencia, Spain
Keyword: Global system for mobile communications ; Sensors ; Trajectories
Indexed Type: EI
ISBN: 9780769544694
Department: (1) School of Computing Science Simon Fraser University BC Canada; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
Sponsorship: IEEE; IEEE Computer Society; IEEE Technical Committee on Distributed Processing; IEEE Technical Committee on Simulation
Abstract: Location information improves the routing effectiveness and facilitates the development of diverse novel applications in mobile networking. While they can lead to better user experiences, given privacy concerns and hardware constraints, a mobile user often exposes a limited number of locations only. We are thus interested in the Trajectory Exposure Problem in this context, i.e., to what degree that the user's trajectory (i.e., its route) is exposed? Furthermore, can the user adaptively control the exposure of its trajectory and yet offer useful information for location-based services? In this paper, we explore Gaussian Process Regression, an effective tool to re-construct the trajectory of the mobile user with selected exposed locations. We examine how the re-constructed trajectory differs from the real trajectory, i.e., evaluating the exposure rate. We present an effective heuristic that adaptively controls the trajectory exposure rate by carefully choosing the exposed locations. We further demonstrate a practical routing protocol, MoRPTE, which, controlled by a single parameter, utilizes location information flexibly and adaptively in the spectrum from zero knowledge to full knowledge to fit the applications' demands. © 2011 IEEE.
English Abstract: Location information improves the routing effectiveness and facilitates the development of diverse novel applications in mobile networking. While they can lead to better user experiences, given privacy concerns and hardware constraints, a mobile user often exposes a limited number of locations only. We are thus interested in the Trajectory Exposure Problem in this context, i.e., to what degree that the user's trajectory (i.e., its route) is exposed? Furthermore, can the user adaptively control the exposure of its trajectory and yet offer useful information for location-based services? In this paper, we explore Gaussian Process Regression, an effective tool to re-construct the trajectory of the mobile user with selected exposed locations. We examine how the re-constructed trajectory differs from the real trajectory, i.e., evaluating the exposure rate. We present an effective heuristic that adaptively controls the trajectory exposure rate by carefully choosing the exposed locations. We further demonstrate a practical routing protocol, MoRPTE, which, controlled by a single parameter, utilizes location information flexibly and adaptively in the spectrum from zero knowledge to full knowledge to fit the applications' demands. © 2011 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16270
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Ma Li,Liu Jiangchuan,Sun Limin,et al. the trajectory exposure problem in location-aware mobile networking[C]. 见:8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011. Valencia, Spain. October 17.
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