ISCAS OpenIR
the trajectory exposure problem in location-aware mobile networking
Ma Li; Liu Jiangchuan; Sun Limin; Karimi Ouldooz Baghban
2011
Conference Name8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
SourceProceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
Pages7-12
Conference DateOctober 17
Conference PlaceValencia, Spain
Indexed TypeEI
ISBN9780769544694
Department(1) School of Computing Science Simon Fraser University BC Canada; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
English AbstractLocation 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.
KeywordGlobal System For Mobile Communications Sensors Trajectories
SponsorshipIEEE; IEEE Computer Society; IEEE Technical Committee on Distributed Processing; IEEE Technical Committee on Simulation
Language英语
Content Type会议论文
URIhttp://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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