Minimum payment collaborative sensing network using mobile phones | |
Lu, Xianling (1) ; Zhu, Yuqing (3) ; Li, Deying (1) ; Xu, Biaofei (1) ; Chen, Wenping (1) ; Ding, Zhiming (4) | |
刊名 | Wireless Networks
![]() |
2014 | |
卷号 | 20期号:7页码:1859-1872 |
关键词 | Collaborative sensing Mobile phones Payment models Set cover |
ISSN号 | 10220038 |
通讯作者 | Li, D.(deyingli@ruc.edu.cn) |
中文摘要 | Mobile phones with embedded sensors have been applied in various collaborative sensing applications. To encourage mobile phone users to perform collaborative sensing, the data demanders usually pay mobile phone users for required data. In this paper, we study the Minimum Payment of Attaining the Required Data with mobile phones (MPARD) problem in collaborative sensing network: given sensing regions (Formula presented.), the set of requisite data (Formula presented.) for each sensing region (Formula presented.) and a set of mobile phones (Formula presented.), the (Formula presented.) problem studies how to select mobile phones to obtain all the required data such that the data demanders' total payment to mobile phone users is minimized. In reality, some systems need the fresh sensing data from mobile phones at each pre-determined time slot, and others don't require the real-time data and the sensing data from previous time slots is also deemed useful. Based on the above two different requirements of data timeliness, we first define two subproblems derived from (Formula presented.) problem: (Formula presented.) and (Formula presented.). After that, for each subproblem, we propose an approximation algorithm for the situation where the trajectories of mobile phones are determinate and a heuristic for the situation where trajectories are unknown. Simulation results demonstrate that our algorithms are efficient. © 2014 Springer Science+Business Media New York. |
英文摘要 | Mobile phones with embedded sensors have been applied in various collaborative sensing applications. To encourage mobile phone users to perform collaborative sensing, the data demanders usually pay mobile phone users for required data. In this paper, we study the Minimum Payment of Attaining the Required Data with mobile phones (MPARD) problem in collaborative sensing network: given sensing regions (Formula presented.), the set of requisite data (Formula presented.) for each sensing region (Formula presented.) and a set of mobile phones (Formula presented.), the (Formula presented.) problem studies how to select mobile phones to obtain all the required data such that the data demanders' total payment to mobile phone users is minimized. In reality, some systems need the fresh sensing data from mobile phones at each pre-determined time slot, and others don't require the real-time data and the sensing data from previous time slots is also deemed useful. Based on the above two different requirements of data timeliness, we first define two subproblems derived from (Formula presented.) problem: (Formula presented.) and (Formula presented.). After that, for each subproblem, we propose an approximation algorithm for the situation where the trajectories of mobile phones are determinate and a heuristic for the situation where trajectories are unknown. Simulation results demonstrate that our algorithms are efficient. © 2014 Springer Science+Business Media New York. |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000342229400013 |
公开日期 | 2014-12-16 |
内容类型 | 期刊论文 |
源URL | [http://ir.iscas.ac.cn/handle/311060/16812] ![]() |
专题 | 软件研究所_软件所图书馆_期刊论文 |
推荐引用方式 GB/T 7714 | Lu, Xianling ,Zhu, Yuqing ,Li, Deying ,et al. Minimum payment collaborative sensing network using mobile phones[J]. Wireless Networks,2014,20(7):1859-1872. |
APA | Lu, Xianling ,Zhu, Yuqing ,Li, Deying ,Xu, Biaofei ,Chen, Wenping ,&Ding, Zhiming .(2014).Minimum payment collaborative sensing network using mobile phones.Wireless Networks,20(7),1859-1872. |
MLA | Lu, Xianling ,et al."Minimum payment collaborative sensing network using mobile phones".Wireless Networks 20.7(2014):1859-1872. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论