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| the trajectory exposure problem in location-aware mobile networking | |
| Ma Li; Liu Jiangchuan; Sun Limin; Karimi Ouldooz Baghban | |
| 2011 | |
| Conference Name | 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011 |
| Source | Proceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011 |
| Pages | 7-12 |
| Conference Date | October 17 |
| Conference Place | Valencia, Spain |
| 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 |
| 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.; 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. |
| Keyword | Global System For Mobile Communications Sensors Trajectories |
| Sponsorship | IEEE; IEEE Computer Society; IEEE Technical Committee on Distributed Processing; IEEE Technical Committee on Simulation |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16270 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Ma Li,Liu Jiangchuan,Sun Limin,et al. the trajectory exposure problem in location-aware mobile networking[C],2011:7-12. |
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