Tony T. Luo's publications   [Return to Homepage]

JOURNAL ARTICLES

  1. [IoT-J'19] Improving IoT Data Quality in Mobile Crowdsensing: A Cross Validation Approach
    T. Luo, J. Huang, S. S. Kanhere, J. Zhang, and S. K. Das
    IEEE Internet of Things Journal (IoT-J). Under review.
  2. [TOPS'19] CrowdPrivacy: Publish More Useful Data for Less Privacy Exposure in Crowdsourced Location-based Services
    F-J. Wu and T. Luo
    ACM Transactions on Privacy and Security (TOPS). Under review.
  3. [TMC'18] On designing distributed auction mechanisms for wireless spectrum allocation [pdf] [DOI: 10.1109/TMC.2018.2869863]
    S. Yang, D. Peng, T. Meng, F. Wu, G. Chen, S. Tang, Z. Li, and T. Luo
    IEEE Transactions on Mobile Computing (TMC). Accepted. To appear.
  4. [ComMag'17] Sustainable incentives for mobile crowdsensing: Auctions, lotteries, and trust and reputation systems [pdf] [DOI: 10.1109/MCOM.2017.1600746CM]
    T. Luo, S. S. Kanhere, J. Huang, S. K. Das, and F. Wu
    IEEE Communications Magazine, vol. 55, no. 3, pp. 68-74, March 2017.

    This survey paper provides a technical overview and analysis of six incentive mechanism design frameworks, namely auction, lottery, trust and reputation system, as well as bargaining game, contract theory, and market-driven mechanism.
  5. [TIST'16] Incentive mechanism design for crowdsourcing: an all-pay auction approach [ACM Lib] [pdf] [DOI: 10.1145/2837029]
    T. Luo, S. K. Das, H-P. Tan, and L. Xia
    ACM Transactions on Intelligent Systems and Technology (TIST), vol. 7, no. 3, pp. 35:1-26, February 2016.

    The most commonly used auctions for incentive mechanism design are winner-pay auctions, where only winners (highest bidders) need to pay (money or effort) for their bids (and be rewarded). On the contrary, all-pay auctions require every worker to pay regardless of who will win, while still rewarding the winners only. This appears to be rather unreasonable, but we show in this paper that all-pay auctions not only have several advantages over winner-pay auctions, but can also generate higher profit by using an adaptive prize.
  6. [TMC'16] Incentive mechanism design for heterogeneous crowdsourcing using all-pay contests [pdf] [DOI: 10.1109/TMC.2015.2485978]
    T. Luo, S. S. Kanhere, S. K. Das, and H-P. Tan
    IEEE Transactions on Mobile Computing (TMC), vol. 15, no. 9, pp. 2234-2246, September 2016.

    We all know that crowdworkers are heterogeneous, but it is hard to model and analyze. Therefore, existing work usually assumes the same distribution (e.g., uniform or normal) for all the workers, without considering the "deeper" heterogeneity where each individual worker has her own distribution (associated with her "type"). This paper deals with this model and designs an incentive mechanism based on asymmetric all-pay auctions.
  7. [TMC'16] Competition-based participant recruitment for delay-sensitive crowdsourcing applications in D2D networks [pdf]
    Y. Han, T. Luo, D. Li, and H. Wu
    IEEE Transactions on Mobile Computing (TMC), vol. 15, no. 12, pp. 2987-2999, December 2016.
    [DOI: 10.1109/TMC.2016.2524590]
  8. [Syst'16] Cooperative Multichannel Directional Medium Access Control for Ad Hoc Networks [DOI: 10.1109/JSYST.2015.2478801]
    Y. Wang, M. Motani, H. K. Garg, Q. Chen, and T. Luo
    IEEE Systems Journal, 2016.
  9. Cloud-Enhanced Robotic System for Smart City Crowd Control [pdf] [html]
    A. Rahman, J. Jin, A. Cricenti, A. Rahman, M. Palaniswami, and T. Luo
    Journal of Sensor and Actuator Networks, vol. 5, no. 4, pp. 1-26, December 2016.
  10. [TMC'15] Quality of contributed service and market equilibrium for participatory sensing [pdf] [DOI: 10.1109/TMC.2014.2330302]
    C-K. Tham and T. Luo
    IEEE Transactions on Mobile Computing (TMC), vol. 14, no. 4, pp. 829-842, April 2015.
    In order to characterize QoS for crowdsensing, this work proposes a metric called Quality of Contributed Service (QCS) which aggregates individual quality of contributions and takes into account information quality and time sensitivity. QCS is then analyzed using a market based supply-and-demand model.
  11. [COMNET'14] Fairness and social welfare in service allocation schemes for participatory sensing [pdf] [DOI: 10.1016/j.comnet.2014.07.013]
    C-K. Tham and T. Luo
    Computer Networks, Elsevier, vol. 73, pp. 58-71, November 2014.
      
    Instead of using monetary or reputation-based incentives, this paper proposes a resource-allocation approach to incentivize crowdsensing. Specifically, it allocates each user certain "service quota" based on the amount of contribution the user makes and the service demands. For example, it can be applied to platforms that use crowdsensed data to provide information service about transport (e.g., bus ETA),environment (e.q., air quality index), and so forth.
  12. [SMC'13] Sensing-Driven Energy Purchasing in Smart Grid Cyber-Physical System [pdf]
    C-K. Tham and T. Luo
    IEEE Transactions on Systems, Man, and Cybernetics: Systems (SMC), vol. 43, no. 4, pp. 773-784, July 2013.
    An optimizer and decision maker is designed for each household to optimize their electricity purchase from the main grid. It takes sensing data as input and uses multi-stage stochastic programming as well as linear programming to perform the optimization.
  13. [CommLett'12] Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks [pdf]
    T. Luo, H-P. Tan, and T. Q. S. Quek
    IEEE Communications Letters, vol. 16, no. 11, pp. 1896-1899, November 2012.
    This work rerepresents the first effort of applying software-defined networking (SDN) to wireless sensor networks, by proposing a SD-WSN architecture with a Sensor OpenFlow (SOF) protocol.
  14. [TMC'12] Energy-Efficient Strategies for Cooperative Multi-Channel MAC Protocols [pdf]
    T. Luo, M. Motani, and V. Srinivasan
    IEEE Transactions on Mobile Computing (TMC), vol. 11, no. 4, pp. 553-566, April 2012. [Bib]
    Instead of duty-cycling (existing) nodes, this paper proposes to deploy additional nodes called "altruists" to achieve energy efficiency. Altruists serve as watchdogs to wake up other "normal" nodes when necessary. We design an optimized deployment strategy which not only achieves high energy efficiency but also high cost efficiency.
  15. [TMC'10] A Metric for DISH Networks: Analysis, Implications, and Applications [pdf]
    T. Luo, V. Srinivasan, and M. Motani
    IEEE Transactions on Mobile Computing (TMC), vol. 9, no. 3, pp. 376-389, March 2010. [Bib]
    This paper gives an example of how to analyze cooperative networking procotols. The key idea is to introduce a metric called pco, which is the availability of cooperation or more specifically the probability of obtaining cooperation. We then provide an analysis of pco in both single-hop and multi-hop networks.
  16. [TMC'09] Cooperative Asynchronous Multichannel MAC: Design, Analysis, and Implementation [pdf]
    T. Luo, M. Motani, and V. Srinivasan
    IEEE Transactions on Mobile Computing (TMC). Vol. 8, no. 3, pp. 338-352, March 2009. [Bib]
    Remark: The proposed protocol (CAM-MAC) was subsequently implemented by Shashi R. Singh on a mesh network testbed demonstrated at MobiCom'10 (program). The detailed report can be found here (WiNTECH program).

CONFERENCE PROCEEDINGS

  1. [AAIM'18] Achieving location truthfulness in rebalancing supply-demand distribution for bike sharing
    H. Lv, F. Wu, T. Luo, X. Gao, and G. Chen
    12th International Conference on Algorithmic Aspects in Information and Management (AAIM), 2018, accepted. To appear.
  2. [FUSION'18] MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things [DOI: 10.23919/ICIF.2018.8455278]
    L. Zeynalvand, J. Zhang, T. Luo, and S. Chen
    21st International Conference on Information Fusion (FUSION), July 2018, pp. 2013-2020.
  3. [ICC'18] Distributed anomaly detection using autoencoder neural networks in WSN for IoT [pdf] [slides] [DOI: 10.1109/ICC.2018.8422402]
    T. Luo and S. Nagarajan
    IEEE International Conference on Communications (ICC), May 2018.
  4. [Globecom'17] Reshaping mobile crowd sensing using cross validation to improve data credibility [pdf] [slides] [DOI: 10.1109/GLOCOM.2017.8255050]
    T. Luo and L. Zeynalvand
    IEEE Global Communications Conference (GLOBECOM), December 2017.
    With the idea of "crowd validating crowd", this paper proposes a cross validation approach, in which a validating crowd is strategically selected to validate the quality of data contributed by the contributing crowd. A five-component cross validation mechanism is designed to reshape the original crowdsensed data into a more credible posterior belief of the ground truth.
  5. [Globecom'16] The privacy exposure problem in mobile location-based services [pdf] [DOI: 10.1109/GLOCOM.2016.7842319]
    F-J. Wu, M. R. Brush, Y-A. Chen, and T. Luo
    IEEE Global Communications Conference (GLOBECOM), December 2016.
  6. [IWQoS'16] Selecting most informative contributors with unknown costs for budgeted crowdsensing [pdf] [DOI: 10.1109/IWQoS.2016.7590447]
    S. Yang, F. Wu, S. Tang, T. Luo, X. Gao, L. Kong and G. Chen
    IEEE/ACM International Symposium on Quality of Service (IWQoS), June 2016.
  7. [INFOCOM'15] Crowdsourcing with Tullock contests: A new perspective [pdf] [DOI: 10.1109/INFOCOM.2015.7218641]
    T. Luo, S. S. Kanhere, H-P. Tan, F. Wu, and H. Wu
    The 34th IEEE International Conference on Computer Communications (INFOCOM), April 2015, pp. 2515-2523.

    Acceptance rate: 19%
    Best Paper Award nominee
    What is a Tullock contest? Think it as a lucky draw! While auctions have dominated the realm of mechanism design for decades, this paper suggests Tullock contests as an alternative mechanism that is more appealing to "ordinary" participants. Tullock contests distinguish themselves from auctions in being imperfectly discriminating: "You always have a chance to win, no matter how 'weak' you are." This feature is particularly desirable for, e.g., large-scale crowdsensing.
  8. [INFOCOM'15] Resisting three-dimensional manipulations in distributed wireless spectrum auctions [pdf]
    D. Peng, S. Yang, F. Wu, G. Chen, S. Tang, and T. Luo
    The 34th IEEE International Conference on Computer Communications (INFOCOM), April 2015, pp. 2056-2064.
    Acceptance rate: 19% (316 out of 1640)
  9. [INFOCOM'15] An endorsement-based reputation system for trustworthy crowdsourcing [pdf]
    C. Wu, T. Luo, F. Wu, and G. Chen
    The 34th IEEE International Conference on Computer Communications (INFOCOM) Student Workshop, April 2015, pp. 89-90.
  10. [Globecom'15] EndorTrust: An endorsement-based reputation system for trustworthy and heterogeneous crowdsourcing [pdf] [DOI: 10.1109/GLOCOM.2015.7417352]
    C. Wu, T. Luo, F. Wu, and G. Chen
    IEEE Global Communications Conference (GLOBECOM), December 2015.
    This reputation system predicts (rather than just evaluates) the quality of user contribution without requiring users' prior contribution. The key to achieving this is to leverage an endorsement relationship among users. The prediction uses collaborative filtering (more specifically matrix factorization), a machine learning technique.
  11. [ICC'15] An efficient and truthful pricing mechanism for team formation in crowdsourcing markets [pdf]
    Q. Liu, T. Luo, R. Tang, and S. Bressan
    IEEE International Conference on Communications (ICC), June 2015, pp. 567-572.
    The goal is to design a group-based incentive mechanism to form the "best" team for a cooperative task. We compare four such mechanisms - OPT, GREEDY, VCG, and TruTeam - by analyzing their profitability, individual rationality, computational efficiency, and truthfulness.
  12. [ICC'15] Infrastructureless signal source localization using crowdsourced data for smart-city applications [pdf]
    F-J. Wu and T. Luo
    IEEE International Conference on Communications (ICC), June 2015, pp. 586-591.
  13. A crowdsourced WiFi sensing system with an endorsement network in smart cities [pdf]
    F-J. Wu, T. Luo, and Jason Cheah
    IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). April 2015, pp. 1-2.
  14. [MASS'14] Optimal prizes for all-pay contests in heterogeneous crowdsourcing [pdf] [DOI: 10.1109/MASS.2014.66] [Extended work: TMC'16]
    T. Luo, S. Kanhere, S. Das, and H-P. Tan
    The 11th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), October 2014, pp. 136-144.
    Acceptance rate: 26.5% (48 out of 181)
    We all know that crowdworkers are heterogeneous, but it is hard to model and analyze. Therefore, existing work usually assumes the same distribution (e.g., uniform or normal) for all the workers, without considering the "deeper" heterogeneity where each individual worker has her own distribution (associated with her "type"). This paper deals with this model and designs an incentive mechanism based on asymmetric all-pay auctions.
  15. [MASS'14] WiFiScout: A crowdsensing WiFi advisory system with gamification-based incentive [pdf]
    F-J. Wu and T. Luo
    The 11th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), October 2014, pp. 533-534.
  16. A smartphone-based WiFi monitoring system [abstract]
    F-J. Wu and T. Luo
    Singapore-Japan International Workshop on Smart Wireless Communications (SMARTCOM), October 2014.
  17. [SECON'14] SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing [pdf] [DOI: 10.1109/SAHCN.2014.6990404]
    T. Luo, S. Kanhere, and H-P. Tan
    The 11th IEEE International Conference on Sensing, Communication, and Networking (SECON), July 2014, pp. 636-644.
    Acceptance rate: 28.6% (67 out of 234)
    This work takes a social-network perspective to connect participants into an endorsement-based social network. It proposes and explores "nepotism"---a tradeoff between selfishness and altruism---to both incentivize participation and improve trustworthiness for crowdsensing.
    (SEW has been implemented in an Android-based crowdsensing app called WiFi-Scout, available for free download.)
  18. [ICC'14] Multi-Channel Directional Medium Access Control for Ad Hoc Networks: A Cooperative Approach [pdf]
    Y. Wang, M. Motani, H. K. Garg, Q. Chen, and T. Luo
    IEEE International Conference on Communications (ICC), June 2014.
  19. [INFOCOM'14] Profit-maximizing incentive for participatory sensing [pdf] [Much enhanced version: ACM TIST'16]
    T. Luo, H-P. Tan, and L. Xia
    The 33rd IEEE International Conference on Computer Communications (INFOCOM), April 2014, pp. 127-135.

    Acceptance rate: 19% (319 out of 1650)
  20. A generic participatory sensing framework for multi-modal datasets [pdf]
    F-J. Wu and T. Luo
    IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), April 2014, pp. 1-6.
  21. [DCOSS'13] Quality of contributed service and market equilibrium for participatory sensing [pdf] [Enhanced version: TMC'15]
    C-K. Tham and T. Luo
    The 9th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), May 2013, pp. 133-140.
    Acceptance rate: 27%
  22. Comparative study of multicast authentication schemes with application to wide-area measurement system [pdf]
    Y-W. Law, Z. Gong, T. Luo, S. Marusic, and M. Palaniswami
    The 8th ACM Symposium on Information, Computer and Communications Security (AsiaCCS), May 2013, pp. 287-298.
    Acceptance rate: 16% (full paper; 35 out of 216), 28% (full+short paper: 35+26 out of 216)
  23. [SECON'12] Fairness and social welfare in incentivizing participatory sensing [pdf] [Enhanced version: COMNET'14]
    T. Luo and C-K. Tham
    The 9th IEEE International Conference on Sensing, Communication, and Networking (SECON), June 2012, pp. 425-433.
    Acceptance rate: 19.4% (68 out of 350)
  24. Enhancing Responsiveness and Scalability for OpenFlow Networks via Control-Message Quenching [pdf]
    T. Luo, H-P. Tan, P. C. Quan, Y-W. Law, and J. Jin
    International Conference on ICT Convergence (ICTC), October 2012, pp. 348-353.
    Best Paper Award
    The OpenFlow switch-controller communication may incur substantial overhead to SDN. We identify such scenarios and propose a solution called CMQ which can tactically suppress a large number of unnecessary control messages (specifically, packet-in from switches and packet-out / flow-mod from the controller).
  25. Network Architecture and QoS Issues in the Internet of Things for a Smart City [pdf]
    J. Jin, J. Gubbi, T. Luo, and M. Palaniswami
    IEEE 12th International Symposium on Communications and Information Technologies (ISCIT), October 2012, pp. 974-979.
  26. Participatory cyber physical system in public transport application [pdf]
    J. K-S. Lau, C-K. Tham, and T. Luo
    Proc. CCSA, IEEE/ACM UCC, December 2011, pp. 355-360. [Bib]
    This paper reports a pilot study in Singapore with a crowd-sensing Android app, called ContriSense:Bus, for public transport.
  27. Dynamic Spectrum Cognitive MAC (DySCO-MAC) for Wireless Mesh & Ad hoc Networks [pdf]
    S. Singh, B. De Silva, T. Luo, and M. Motani
    IEEE INFOCOM workshop on Cognitive Wireless Communications and Networking, March 2010. [Bib]
  28. [SECON'09] Cognitive DISH: Virtual Spectrum Sensing meets Cooperation [pdf]
    T. Luo and M. Motani
    IEEE SECON, June 2009, pp. 664-672. [Bib]
  29. Acceptance rate: 18.8% (81 out of 431)

  30. [MobiHoc'08] Analyzing DISH for multi-channel MAC protocols in wireless networks [ACM Lib] [pdf] [Extended work: TMC'10]
    T. Luo, M. Motani, and V. Srinivasan
    ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), May 2008, pp. 43-52. [Bib]
  31. Acceptance rate: 14.7% (44 out of 300)
    This paper provides an example of how to analyze cooperative networking procotols. The key idea is to introduce a metric called pco, which is the availability of cooperation or more specifically the probability of obtaining cooperation. We then provide an analysis of pco in both single-hop and multi-hop networks.

  32. [MobiCom'07] Altruistic cooperation for energy-efficient multi-channel MAC protocols [ACM Lib] [pdf] [Extended work: TMC'12]
    T. Luo, M. Motani, and V. Srinivasan
    ACM International Conference on Mobile Computing and Networking (MobiCom), September 2007. [Bib]
  33. Acceptance rate: 17% (26 regular papers + 14 extended abstracts out of 233 full-paper submissions)

  34. CAM-MAC: A Cooperative Asynchronous Multi-Channel MAC Protocol for Ad Hoc Networks [pdf] [Extended work: TMC'09]
    T. Luo, M. Motani, and V. Srinivasan
    International Conference on Broadband Communications, Networks and Systems (BroadNets), October 2006, pp. 1-10.
  35. [Globecom'03] Analyses and improvements of link management protocol for GMPLS-based networks [pdf]
    T. Luo and G-S. Kuo
    IEEE Global Communications Conference (GLOBECOM), 2003, pp. 2992-2998.
  36. SLA foundation template library: reusable-component repository for SLA [pdf]
    T. Luo and L. Meng
    IEEE 9th International Conference on Communication Technology (ICCT), 2003, pp. 1739-1743.
  37. Two novel 2x2 models for MEMS-based optical switches [pdf]
    T. Luo
    IEEE 9th International Conference on Communication Technology (ICCT), 2003, pp. 597-600.

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