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Title:
Minimum payment collaborative sensing network using mobile phones
Author: Lu, Xianling (1) ; Zhu, Yuqing (3) ; Li, Deying (1) ; Xu, Biaofei (1) ; Chen, Wenping (1) ; Ding, Zhiming (4)
Corresponding Author: Li, D.(deyingli@ruc.edu.cn)
Keyword: Collaborative sensing ; Mobile phones ; Payment models ; Set cover
Source: Wireless Networks
Issued Date: 2014
Volume: 20, Issue:7, Pages:1859-1872
Indexed Type: SCI ; EI
Department: (1) School of Information, Renmin University of China, Beijing, 100872, China; (2) State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China; (3) Department of Computer Science, University of Texas at Dallas, Richardson, TX, United States; (4) Institute of Software, Chinese Academy of Sciences, Beijing, China
Abstract: 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.
English Abstract: 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.
Language: 英语
WOS ID: WOS:000342229400013
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16812
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Lu, Xianling ,Zhu, Yuqing ,Li, Deying ,et al. Minimum payment collaborative sensing network using mobile phones[J]. Wireless Networks,2014-01-01,20(7):1859-1872.
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