Skip to main content

Feel the World: A Mobile Framework for Participatory Sensing

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8093))

Abstract

Nowadays, smartphones have almost replaced basic feature phones all over the world. Today’s smartphones come equipped with an increasing set of embedded sensors, computational and communication resources. All these gave developers the ability to design and implement a wide variety of applications in the domains of healthcare, social networking, safety, environmental monitoring and transportation. This paper presents a novel middleware platform, called Feel the World (FTW) which provides third party programmers, with little phone programming experience, the ability to develop applications that enable people to sense, visualize and share information about the world they live in.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aharony, N., Pan, W., Ip, C., Khayal, I., Pentland, A.: Social fmri: Investigating and shaping social mechanisms in the real world. Pervasive Mob. Comput. 7(6), 643–659 (2011)

    Article  Google Scholar 

  2. Barr, K.C., Asanović, K.: Energy-aware lossless data compression. ACM Trans. Comput. Syst. 24, 250–291 (2006)

    Article  Google Scholar 

  3. Brunette, W., Sodt, R., Chaudhri, R., Goel, M., Falcone, M., Van Orden, J., Borriello, G.: Open data kit sensors: a sensor integration framework for android at the application-level. In: Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, MobiSys 2012, pp. 351–364. ACM, New York (2012)

    Chapter  Google Scholar 

  4. Das, T., Mohan, P., Padmanabhan, V.N., Ramjee, R., Sharma, A.: Prism: platform for remote sensing using smartphones. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, MobiSys 2010, pp. 63–76. ACM, New York (2010)

    Google Scholar 

  5. Deutsch, P.: Deflate compressed data format specification version 1.3 (1996)

    Google Scholar 

  6. Kim, D.H., Kim, Y., Estrin, D., Srivastava, M.B.: Sensloc: sensing everyday places and paths using less energy. In: Proceedings of the 8th ACM Conference on SenSys, pp. 43–56. ACM, New York (2010)

    Google Scholar 

  7. Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Lu, H., Zheng, X., Musoles, M., Fodor, K., Ahn, G.-S.: The rise of people-centric sensing. In: IEEE Internet Computing, pp. 12:12–12:21 (July 2008)

    Google Scholar 

  8. Choudhury, T., Lu, H., Yang, J., Liu, Z., Lane, N.D., Campbell, A.T.: The jigsaw continuous sensing engine for mobile phone applications. In: Proceedings of the 8th ACM Conference on SenSys, MobiSys 2010, pp. 71–84. ACM, New York (2010)

    Google Scholar 

  9. Froehlich, J., Chen, M.Y., Consolvo, S., Harrison, B., Landay, J.A.: Myexperience: a system for in situ tracing and capturing of user feedback on mobile phones. In: Proceedings of the 5th International Conference on Mobile Systems, Applications and Services, MobiSys 2007, pp. 57–70. ACM, New York (2007)

    Google Scholar 

  10. Lane, N.D.: Community-aware smartphone sensing systems. IEEE Internet Computing 16(3), 60–64 (2012)

    Article  Google Scholar 

  11. Rachuri, K.K., Mascolo, C., Musolesi, M., Rentfrow, P.J.: Sociablesense: Exploring the tradeoffs of adaptive sampling and computation offloading for social sensing. In: Proceedings of the 17th MobiCom, Las Vegas, USA, pp. 71–84. ACM (2011)

    Google Scholar 

  12. Tsiftes, N., Dunkels, A., Voigt, T.: Efficient sensor network reprogramming through compression of executable modules. In: 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2008, pp. 359–367 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Phokas, T., Efstathiades, H., Pallis, G., Dikaiakos, M.D. (2013). Feel the World: A Mobile Framework for Participatory Sensing. In: Daniel, F., Papadopoulos, G.A., Thiran, P. (eds) Mobile Web Information Systems. MobiWIS 2013. Lecture Notes in Computer Science, vol 8093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40276-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40276-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40275-3

  • Online ISBN: 978-3-642-40276-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics