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Orchestration support for participatory sensing campaigns

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Published:13 September 2014Publication History

ABSTRACT

In this paper we argue the need for orchestration support for participatory campaigns to achieve campaign quality, and automatisation of said support to achieve scalability, both issues contributing to stakeholder usability. This goes further than providing support for defining campaigns, an issue tackled in prior work. We provide a formal definition for a campaign by extracting commonalities from the state of the art and expertise in organising noise mapping campaigns. Next, we formalise how to ensure campaigns end successfully, and translate this formal notion into an operational recipe for dynamic orchestration. We then present a framework for automatising campaign definition, monitoring and orchestration which relies on workflow technology. The framework is validated by re-enacting several campaigns previously run through manual orchestration and quantifying the increased efficiency.

References

  1. Barker, A., and Hemert, J. Scientific workflow: A survey and research directions. In Parallel Processing and Applied Mathematics, R. Wyrzykowski, J. Dongarra, K. Karczewski, and J. Wasniewski, Eds., vol. 4967 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008, 746--753. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Boulos, M. N. K., Resch, B., Crowley, D. N., Breslin, J. G., Sohn, G., Burtner, R., Pike, W. A., Jezierski, E., and Chuang, K.-Y. S. Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, ogc standards and application examples. International journal of health geographics 10, 1 (2011), 67.Google ScholarGoogle Scholar
  3. David M. Aanensen, Derek M. Huntley, Edward J. Feil, Fada'a al Own, and Brian G. Spratt. EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection. PLoS ONE 4, 9 (2009).Google ScholarGoogle Scholar
  4. Delphine Christin, Andreas Reinhardt, Salil S. Kanhere, and Matthias Hollick. A survey on privacy in mobile participatory sensing applications. Journal of Systems and Software 84, 11 (2011), 1928--1946. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Eisenman, S. B., Miluzzo, E., Lane, N. D., Peterson, R. A., Ahn, G.-S., and Campbell, A. T. Bikenet: A mobile sensing system for cyclist experience mapping. ACM Trans. Sen. Netw. 6, 1 (2010), 6:1--6:39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Ellie D'Hondt, Matthias Stevens, and An Jacobs. Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring. Pervasive and Mobile Computing 9, 5 (2013), 681--694.Google ScholarGoogle Scholar
  7. Eric Paulos. Citizen Science: Enabling Participatory Urbanism. In Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City, M. Foth, Ed. Information Science Reference, IGI Global, 2009, ch. 28, 414--436.Google ScholarGoogle Scholar
  8. Ganti, R. K., Pham, N., Ahmadi, H., Nangia, S., and Abdelzaher, T. F. Greengps: A participatory sensing fuel-efficient maps application. In Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, MobiSys '10, ACM (2010), 151--164. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hollingsworth, D., and Hampshire, U. Workflow management coalition the workflow reference model. Workflow Management Coalition (1993), 68.Google ScholarGoogle Scholar
  10. iSPEX. Measure aerosols with your smartphone, 2013. http://ispex.nl/en.Google ScholarGoogle Scholar
  11. Jeffrey A. Burke, Deborah Estrin, Mark Hansen, Andrew Parker, Nithya Ramanathan, Sasank Reddy, and Mani B. Srivastava. Participatory Sensing. In WSW'06: Workshop on World-Sensor-Web, held at ACM SenSys '06 (2006).Google ScholarGoogle Scholar
  12. Kim, S., Mankoff, J., and Paulos, E. Sensr: Evaluating a flexible framework for authoring mobile data-collection tools for citizen science. In Proc. Computer Supported Cooperative Work, ACM (2013), 1453--1462. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., and Campbell, A. T. A survey of mobile phone sensing. Comm. Mag. 48, 9 (2010), 140--150. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Linnap, M., and Rice, A. The effectiveness of centralised management for reducing wasted effort in participatory sensing. In First International Workshop on Crowdsensing Methods, Techniques, and Applications (2014).Google ScholarGoogle ScholarCross RefCross Ref
  15. Maisonneuve, N., Stevens, M., and Ochab, B. Participatory noise pollution monitoring using mobile phones. Information Polity 15, 1 (2010), 51--71. Google ScholarGoogle ScholarCross RefCross Ref
  16. Mascolo, C., Capra, L., and Emmerich, W. Mobile computing middleware. In Advanced Lectures on Networking, NETWORKING 2002, Springer-Verlag (2002), 20--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Miluzzo, E., Lane, N., Eisenman, S., and Campbell, A. Cenceme injecting sensing presence into social networking applications. In Smart Sensing and Context, G. Kortuem, J. Finney, R. Lea, and V. Sundramoorthy, Eds., vol. 4793 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007, 1--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Mostinckx, S., Scholliers, C., Philips, E., Herzeel, C., and De Meuter, W. Fact spaces: Coordination in the face of disconnection. In Proc. Coordination Models and Languages, COORDINATION'07, Springer-Verlag (2007), 268--285. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Nicolas Maisonneuve, Matthias Stevens, and Bartek Ochab. Participatory noise pollution monitoring using mobile phones. Information Polity 15, 1--2 (2010), 51--71. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Philips, E. Workflow Abstractions for Orchestrating Services in Nomadic Networks. PhD thesis, Vrije Universiteit Brussel, 2013.Google ScholarGoogle Scholar
  21. Philips, E., Straeten, R. V. D., and Jonckers, V. NOW: Orchestrating services in a nomadic network using a dedicated workflow language. Sci. Comput. Program. 78, 2 (2013), 168--194. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ramanathan, N., Alquaddoomi, F., Falaki, H., George, D., Hsieh, C., Jenkins, J., Ketcham, C., Longstaff, B., Ooms, J., Selsky, J., Tangmunarunkit, H., and Estrin, D. ohmage: An open mobile system for activity and experience sampling. In Proc. PervasiveHealth (2012), 203--204.Google ScholarGoogle ScholarCross RefCross Ref
  23. Rula, J. P., and Bustamante, F. E. Crowd (soft) control: moving beyond the opportunistic. In HotMobile, G. Borriello and R. K. Balan, Eds., ACM (2012), 3. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Tilak, S. Real-world deployments of participatory sensing applications: Current trends and future directions. ISRN Sensor Networks 2013 (2013).Google ScholarGoogle Scholar
  25. von Kaenel, M., Sommer, P., and Wattenhofer, R. Ikarus: Large-scale participatory sensing at high altitudes. In 2th Workshop on Mobile Computing Systems and Applications (HotMobile) (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Zaman, J. Orchestrating participatory sensing campaigns with workflows. Master's thesis, Vrije Universiteit Brussel, 2013. http://brussense.be/Pubs/files/Zaman_MScThesis_2013.pdf.Google ScholarGoogle Scholar
  27. Zaman, J., D'Hondt, E., Gonzalez Boix, E., Philips, E., Kambona, K., and De Meuter, W. Citizen-Friendly participatory campaign support. In PerCom WiP'14 (2014), 248--251.Google ScholarGoogle Scholar

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              cover image ACM Conferences
              UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
              September 2014
              973 pages
              ISBN:9781450329682
              DOI:10.1145/2632048

              Copyright © 2014 ACM

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              Publication History

              • Published: 13 September 2014

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