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Incentive-Based Crowdsourcing of Hotspot Services

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Crowdsourcing of Sensor Cloud Services

Abstract

The success of crowdsourced service framework depends on the willingness of the crowd to participate and offer services. Therefore, it is paramount to consider the incentives as the driving mechanism to increase participation.

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Notes

  1. 1.

    https://developers.google.com/maps/documentation/distance-matrix/intro.

  2. 2.

    www.citycabs.co.uk.

  3. 3.

    www.cabwifi.com.

  4. 4.

    www.uber.com/blog/philadelphia/take-work-on-the-gowith-uberwifi.

  5. 5.

    http://www.infochimps.com/datasets/uber-anonymized-gps-logs.

  6. 6.

    https://s3.amazonaws.com/SplitwiseBlogJB/2010+Census+Population+By+Zipcode+(ZCTA).csv.

  7. 7.

    https://data.sfgov.org/Transportation/Estimated-Yearly-Pedestrian-Volume-at-Intersection/v62e-2jxp.

References

  1. Maria J Antikainen and Heli K Vaataja. Rewarding in open innovation communities–how to motivate members. International Journal of Entrepreneurship and Innovation Management, 11(4):440–456, 2010.

    Google Scholar 

  2. Eran Ben-Elia and Dick Ettema. Carrots versus sticks: Rewarding commuters for avoiding the rush-hour-a study of willingness to participate. Journal of Transport policy, 16(2):68–76, 2009.

    Google Scholar 

  3. Eran Ben-Elia and Dick Ettema. Rewarding rush-hour avoidance: A study of commuters’ travel behavior. Journal of Transportation Research Part A: Policy and Practice, 45(7):567–582, 2011.

    Google Scholar 

  4. Michiel CJ Bliemer, Matthijs Dicke-Ogenia, and Dick Ettema. Rewarding for avoiding the peak period: a synthesis of four studies in the netherlands. 2010.

    Google Scholar 

  5. Peter Cohen, Robert Hahn, Jonathan Hall, Steven Levitt, and Robert Metcalfe. Using big data to estimate consumer surplus: The case of Uber. Technical report, National Bureau of Economic Research, 2016.

    Google Scholar 

  6. Justin Cranshaw, Eran Toch, Jason Hong, Aniket Kittur, and Norman Sadeh. Bridging the gap between physical location and online social networks. In Proceedings of the 12th ACM international conference on Ubiquitous computing, pages 119–128. ACM, 2010.

    Google Scholar 

  7. Edward Deci and Richard M Ryan. Intrinsic Motivation and Self-Determination in Human Behavior. Springer Science & Business Media, 1985.

    Google Scholar 

  8. Dingxiong Deng, Cyrus Shahabi, and Linhong Zhu. Task matching and scheduling for multiple workers in spatial crowdsourcing. In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, page 21. ACM, 2015.

    Google Scholar 

  9. Hongwei Dong, Liang Ma, and Joseph Broach. Promoting sustainable travel modes for commute tours: A comparison of the effects of home and work locations and employer-provided incentives. International Journal of Sustainable Transportation, 10(6):485–494, 2016.

    Article  Google Scholar 

  10. Shibo He, Dong-Hoon Shin, Junshan Zhang, and Jiming Chen. Toward optimal allocation of location dependent tasks in crowdsensing. In 2014 IEEE International Conference on Computer Communications INFOCOM, pages 745–753. IEEE, 2014.

    Google Scholar 

  11. Chien-Ju Ho, Shahin Jabbari, and Jennifer W Vaughan. Adaptive task assignment for crowdsourced classification. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pages 534–542, 2013.

    Google Scholar 

  12. Chien-Ju Ho and Jennifer Wortman Vaughan. Online task assignment in crowdsourcing markets. In AAAI, volume 12, pages 45–51, 2012.

    Google Scholar 

  13. Leyla Kazemi and Cyrus Shahabi. Geocrowd: enabling query answering with spatial crowdsourcing. In Proceedings of the 20th International Conference on Advances in Geographic Information Systems, pages 189–198. ACM, 2012.

    Google Scholar 

  14. Michal Piorkowski, Natasa Sarafijanovic-Djukic, and Matthias Grossglauser. CRAWDAD dataset epfl/mobility (v. 2009-02-24). Downloaded from http://crawdad.org/epfl/mobility/20090224, February 2009.

  15. Anne C Rouse. A preliminary taxonomy of crowdsourcing. Proceedings of 21st Australasian Conference on Information Systems (ACIS), 76:1–10, 2010.

    Google Scholar 

  16. Hien To, Cyrus Shahabi, and Leyla Kazemi. A server-assigned spatial crowdsourcing framework. ACM Transactions on Spatial Algorithms and Systems, 1(1):2, 2015.

    Google Scholar 

  17. Mingjun Xiao, Jie Wu, Liusheng Huang, Yunsheng Wang, and Cong Liu. Multi-task assignment for crowdsensing in mobile social networks. In 2015 IEEE Conference on Computer Communications INFOCOM, pages 2227–2235. IEEE, 2015.

    Google Scholar 

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Ghari Neiat, A., Bouguettaya, A. (2018). Incentive-Based Crowdsourcing of Hotspot Services. In: Crowdsourcing of Sensor Cloud Services. Springer, Cham. https://doi.org/10.1007/978-3-319-91536-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-91536-4_5

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