2016 • In IEEE Global Communications Conference (GLOBECOM) Workshops: Fifth International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA)
Mobile crowdsensing; Reputation systems; User incentives
Abstract :
[en] Widespread use of connected smart devices that are equipped with various built-in sensors has introduced the mobile crowdsensing concept to the IoT-driven information and communication applications. Mobile crowdsensing requires implicit collaboration between the crowdsourcer/recruiter platforms and users. Additionally, users need to be incentivized by the crowdsensing platform because each party aims to maximize their utility. Due to the participatory nature of data collection, trustworthiness and truthfulness pose a grand challenge in crowdsensing systems in the presence of malicious users, who either aim to manipulate sensed data or collaborate unfaithfully with the motivation of maximizing their income. In this paper, we propose a game-theoretic approach for trustworthiness-driven user recruitment in mobile crowdsensing systems that consists of three phases: i) user recruitment, ii) collaborative decision making on trust scores, and iii) badge rewarding. Our proposed framework incentivizes the users through a sub-game perfect equilibrium (SPE) and gamification techniques. Through simulations, we show that the platform utility can be improved by up to the order of 50\% while the average user utility can be increased by at least 15\% when compared to fully-distributed and user-centric trustworthy crowdsensing.
Disciplines :
Computer science
Author, co-author :
Pouryazdan, Maryam; Clarkson University
Fiandrino, Claudio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Kantarci, Burak; University of Ottawa
Kliazovich, Dzmitry ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Soyata, Tolga; SUNY University at Albany
Bouvry, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications
Publication date :
December 2016
Event name :
IEEE Global Communications Conference (GLOBECOM) Workshops: Fifth International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA)
Event date :
2016
Audience :
International
Main work title :
IEEE Global Communications Conference (GLOBECOM) Workshops: Fifth International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA)
R. Ganti, F. Ye, and H. Lei, "Mobile crowdsensing: current state and future challenges", IEEE Communications Magazine, vol. 49, no. 11, pp. 32-39, November 2011.
W. Khan, Y. Xiang, M. Aalsalem, and Q. Arshad, "Mobile phone sensing systems: A survey", IEEE Communications Surveys Tutorials, vol. 15, no. 1, pp. 402-427, First 2013.
X. Zhang, Z. Yang, W. Sun, Y. Liu, S. Tang, K. Xing, and X. Mao, "Incentives for mobile crowd sensing: A survey", IEEE Communications Surveys Tutorials, vol. PP, no. 99, pp. 1-1, 2015.
X. Sheng, J. Tang, X. Xiao, and G. Xue, "Sensing as a service: Challenges, solutions and future directions", IEEE Sensors Journal, vol. 13, no. 10, pp. 3733-3741, Oct. 2013.
L. Jaimes, I. Vergara-Laurens, and A. Raij, "A survey of incentive techniques for mobile crowd sensing", IEEE Internet of Things Journal, vol. 2, no. 5, pp. 370-380, Oct. 2015.
S. Deterding, D. Dixon, R. Khaled, and L. Nacke, "From game design elements to gamefulness: defining gamification", in Proceedings of the 15th Intl. academic MindTrek Conf. ACM, 2011, pp. 9-15.
D. Easley and A. Ghosh, "Incentives, gamification, and game theory: an economic approach to badge design", in 14th ACM Conf. on Electronic Commerce, 2013, pp. 359-376.
Y. Ueyama, M. Tamai, Y. Arakawa, and K. Yasumoto, "Gamificationbased incentive mechanism for participatory sensing", in Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on. IEEE, 2014, pp. 98-103.
M. Pouryazdan, B. Kantarci, T. Soyata, and H. Song, "Anchor-Assisted and Vote-based Trustworthiness Assurance in Smart City Crowdsensing", IEEE Access, vol. 4, pp. 529-541, Mar. 2016.
B. Kantarci and H. T. Mouftah, "Trustworthy sensing for public safety in cloud-centric internet of things", IEEE Internet of Things Journal, vol. 1, no. 4, pp. 360-368, Aug. 2014.
T. Giannetsos, S. Gisdakis, and P. Papadimitratos, "Trustworthy peoplecentric sensing: Privacy, security and user incentives road-map", in 13th Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014, pp. 39-46.
M. Talasila, R. Curtmola, and C. Borcea, "Crowdsensing in the wild with aliens and micropayments", IEEE Pervasive Computing, vol. 15, no. 1, pp. 68-77, Jan 2016.
K. Han, E. A. Graham, D. Vassallo, and D. Estrin, "Enhancing motivation in a mobile participatory sensing project through gaming", in IEEE Third Intl. Conf. on Privacy, Security, Risk and Trust and IEEE Third Intl. Conf. on Social Computing, 2011, pp. 1443-1448.
N. D. Lane, M. Mohammod, M. Lin, X. Yang, H. Lu, S. Ali, A. Doryab, E. Berke, T. Choudhury, and A. Campbell, "Bewell: A smartphone application to monitor, model and promote wellbeing", in 5th ICST Conf. on pervasive computing technologies for healthcare, 2011, pp. 23-26.
B. Kantarci, K. G. Carr, and C. D. Pearsall, "Sonata: Social network assisted trustworthiness assurance in smart city crowdsensing", Intl. J. of Distributed Systems and Technologies, vol. 7/1, pp. 59-78, 2016.
Y. Xiao, P. Simoens, P. Pillai, K. Ha, and M. Satyanarayanan, "Lowering the barriers to large-scale mobile crowdsensing", in Proc. 14th Workshop on Mobile Computing Systems and Applications, 2013, p. 9.
Y. Liu and C. Miao, "A survey of incentives and mechanism design for human computation systems", arXiv preprint arXiv:1602.03277, 2016.
F.-J. Wu and T. Luo, "WiFiScout: A crowdsensing WiFi advisory system with gamification-based incentive", in IEEE 11th Intl. Conf. on Mobile Ad Hoc and Sensor Systems (MASS), 2014, pp. 533-534.
R. Kawajiri, M. Shimosaka, and H. Kashima, "Steered crowdsensing: incentive design towards quality-oriented place-centric crowdsensing", in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2014, pp. 691-701.
H. Xie, J. Lui, J. W. Jiang, and W. Chen, "Incentive mechanism and protocol design for crowdsourcing systems", in 52nd Allerton Conf, on Communication, Control, and Computing. IEEE, 2014, pp. 140-147.
J. Sun, "Behavior-based online incentive mechanism for crowd sensing with budget constraints", arXiv preprint arXiv:1310.5485, 2013.
L. G. Jaimes, I. Vergara-Laurens, and A. Chakeri, "Spread, a crowd sensing incentive mechanism to acquire better representative samples", in IEEE Intl. Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). IEEE, 2014, pp. 92-97.
D. Yang, G. Xue, X. Fang, and J. Tang, "Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing", in Proc. of the 18th Annual Intl. Conf. on Mobile computing and networking. ACM, 2012, pp. 173-184.
Z. Yang, J. Xue, X. Yang, X. Wang, and Y. Dai, "VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils", IEEE Trans. on Dependable and Secure Computing, vol. 13/4, pp. 488-501, July 2016.
J. Moore and R. Repullo, "Subgame perfect implementation", Econometrica: Journal of the Econometric Society, pp. 1191-1220, 1988.
A. Ghosh, "Game theory and incentives in human computation systems", in Handbook of Human Computation. Springer, 2013, pp. 725-742.