the trajectory exposure problem in location-aware mobile networking

ISCAS OpenIR

	the trajectory exposure problem in location-aware mobile networking
	Ma Li; Liu Jiangchuan; Sun Limin; Karimi Ouldooz Baghban
	2011
会议名称	8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
会议录名称	Proceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
页码	7-12
会议日期	October 17
会议地点	Valencia, Spain
收录类别	EI
ISBN	9780769544694
部门归属	(1) School of Computing Science Simon Fraser University BC Canada; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
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.; 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.
关键词	Global System For Mobile Communications Sensors Trajectories
主办者	IEEE; IEEE Computer Society; IEEE Technical Committee on Distributed Processing; IEEE Technical Committee on Simulation
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16270
专题	中国科学院软件研究所
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],2011:7-12.