the trajectory exposure problem in location-aware mobile networking
文献类型：会议论文
| 作者 | Ma Li ; Liu Jiangchuan ; Sun Limin ; Karimi Ouldooz Baghban |
| 出版日期 | 2011 |
| 会议名称 | 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011 |
| 会议日期 | October 17 |
| 会议地点 | Valencia, Spain |
| 关键词 | Global system for mobile communications Sensors Trajectories |
| 页码 | 7-12 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | IEEE; IEEE Computer Society; IEEE Technical Committee on Distributed Processing; IEEE Technical Committee on Simulation |
| 会议录 | Proceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
 |
| 语种 | 英语 |
| ISBN号 | 9780769544694 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16270]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：软件研究所
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