A Survey of Incentive Mechanisms for Participatory Sensing

被引:136
作者
Gao, Hui [1 ,2 ]
Liu, Chi Harold [3 ]
Wang, Wendong [1 ]
Zhao, Jianxin [3 ]
Song, Zheng [1 ]
Su, Xin [4 ]
Crowcroft, Jon [5 ]
Leung, Kin K. [6 ,7 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China
[3] Beijing Inst Technol, Sch Software, Beijing 100081, Peoples R China
[4] Tsinghua Univ, Res Inst Informat Technol, Beijing 100084, Peoples R China
[5] Univ Cambridge, Comp Lab, Cambridge CB2 1TN, England
[6] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England
[7] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England
基金
中国国家自然科学基金;
关键词
Participatory sensing; incentive schemes; survey; REPUTATION SYSTEM; FRAMEWORK; ANONYMITY; PROTOCOLS; DESIGN;
D O I
10.1109/COMST.2014.2387836
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Participatory sensing is now becoming more popular and has shown its great potential in various applications. It was originally proposed to recruit ordinary citizens to collect and share massive amounts of sensory data using their portable smart devices. By attracting participants and paying rewards as a return, incentive mechanisms play an important role to guarantee a stable scale of participants and to improve the accuracy/coverage/timeliness of the sensing results. Along this direction, a considerable amount of research activities have been conducted recently, ranging from experimental studies to theoretical solutions and practical applications, aiming at providing more comprehensive incentive procedures and/or protecting benefits of different system stakeholders. To this end, this paper surveys the literature over the period of 2004-2014 from the state of the art of theoretical frameworks, applications and system implementations, and experimental studies of the incentive strategies used in participatory sensing by providing up-to-date research in the literature. We also point out future directions of incentive strategies used in participatory sensing.
引用
收藏
页码:918 / 943
页数:26
相关论文
共 102 条
[11]  
Babaioff M, 2008, ACM SIGECOM EXCH, V7
[12]   Submodular Secretary Problem and Extensions [J].
Bateni, Mohammadhossein ;
Hajiaghayi, Mohammadtaghi ;
Zadimoghaddam, Morteza .
ACM TRANSACTIONS ON ALGORITHMS, 2013, 9 (04)
[13]  
Berger J.O., 1985, Statistical decision theory and Bayesian analysis, V2nd
[14]   Mobile Stream Sampling under Time Constraints [J].
Boutsis, Ioannis ;
Kalogeraki, Vana .
2013 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2013), VOL 1, 2013, :227-236
[15]  
Chen L.-J., 2009, COLLABORATECOM 09 P, P1
[16]  
Chien-Ming Chou, 2012, 2012 12th International Conference on ITS Telecommunications (ITST 2012), P579, DOI 10.1109/ITST.2012.6425246
[17]  
CHON YOHAN., 2013, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'13), P1
[18]   What's the Value of Your Privacy? Exploring Factors That Influence Privacy-sensitive Contributions to Participatory Sensing Applications [J].
Christin, Delphine ;
Buechner, Christian ;
Leibecke, Niklas .
PROCEEDINGS OF THE 2013 38TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS WORKSHOPS (LCN WORKSHOPS), 2013, :918-923
[19]   IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications [J].
Christin, Delphine ;
Rosskopf, Christian ;
Hollick, Matthias ;
Martucci, Leonardo A. ;
Kanhere, Salil S. .
PERVASIVE AND MOBILE COMPUTING, 2013, 9 (03) :353-371
[20]   A survey on privacy in mobile participatory sensing applications [J].
Christin, Delphine ;
Reinhardt, Andreas ;
Kanhere, Salil S. ;
Hollick, Matthias .
JOURNAL OF SYSTEMS AND SOFTWARE, 2011, 84 (11) :1928-1946