Skip to main content
SpringerLink
Log in

Ubiquitous Connections: The Internet of People and Things

  • Chapter
  • First Online:
Crowd-Powered Mobile Computing and Smart Things

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

This chapter introduces a range of technology trends, including Cloud Computing, Internet of Things, Device Mesh, Big Data, Wearable Computing, Crowd Computing, Crowdsourcing, Culture of Sharing, Collective Computing, and Swarm Dynamics, and gives an outline of the book. Five perspectives are introduced, namely, crowd+cloud machines, extreme cooperation, scalable context-awareness, drone services, and social links in mobile crowds.

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

Access this chapter

Log in via an institution
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 EPUB and 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

Institutional subscriptions

Notes

  1. 1.

    https://developer.ibm.com/openwhisk/what-is-serverless-computing/, http://searchitoperations.techtarget.com/definition/serverless-computing.

  2. 2.

    https://aws.amazon.com/lambda/details/.

  3. 3.

    https://cloud.google.com/functions/.

  4. 4.

    http://fognetworks.org.

  5. 5.

    http://ttt.media.mit.edu.

  6. 6.

    http://www.gartner.com/newsroom/id/3143521.

  7. 7.

    http://www.cnet.com/news/there-are-now-more-gadgets-on-earth-than-people/.

  8. 8.

    http://www.sbs.com.au/news/article/2015/01/02/australia-has-more-phones-people.

  9. 9.

    http://www.outwardon.com/article/cell-phones-in-africa/.

  10. 10.

    http://theconversation.com/phones-crucial-to-survival-for-refugees-on-the-perilous-route-to-europe-59428.

  11. 11.

    http://www.mooreslaw.org.

  12. 12.

    E.g., https://www.withings.com/us/en/products/hair-coach.

  13. 13.

    E.g., https://www.hapi.com/product/hapifork.

  14. 14.

    http://research.microsoft.com/en-us/projects/spatialcrowdsourcing/.

  15. 15.

    http://www.gmissionhkust.com/.

  16. 16.

    http://sociam.org/social-machines.

  17. 17.

    https://www.crimereports.com.

  18. 18.

    http://www.participatorysystems.nl.

  19. 19.

    http://www.uber.com.

  20. 20.

    http://www.lyft.com.

  21. 21.

    https://www.airbnb.com.

  22. 22.

    https://www.eatwith.com.

  23. 23.

    http://umbrellahere.com.

  24. 24.

    http://sloanreview.mit.edu/article/crowd-based-capitalism-empowering-entrepreneurs-in-the-sharing-economy/.

References

  1. Gregory D. Abowd. Beyond weiser: From ubiquitous to collective computing. Computer, 49(1):17–23, 2016.

    Google Scholar 

  2. Roland Bouffanais. Design and Control of Swarm Dynamics. Springer, 2016.

    Book  MATH  Google Scholar 

  3. Abhishek Chandra, Jon Weissman, and Benjamin Heintz. Decentralized edge clouds. IEEE Internet Computing, 17(5):70–73, September 2013.

    Google Scholar 

  4. Robin Chase. Peers Inc: How People and Platforms Are Inventing the Collaborative Economy and Reinventing Capitalism. PublicAffairs, 2015.

    Google Scholar 

  5. Cen Chen, Shih-Fen Cheng, Aldy Gunawan, and Archan Misra. Traccs: Trajectory-aware coordinated urban crowd-sourcing. In Conference on Human Computation and Crowdsourcing (HCOMP?14), Pittsburgh, USA, November 2014.

    Google Scholar 

  6. Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, and Linhong Zhu. Task selection in spatial crowdsourcing from worker’s perspective. Geoinformatica, 20(3):529–568, July 2016.

    Google Scholar 

  7. Nathan Eagle. Txteagle: Mobile crowdsourcing. In Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held As Part of HCI International 2009, IDGD ’09, pages 447–456, Berlin, Heidelberg, 2009. Springer-Verlag.

    Google Scholar 

  8. Niroshinie Fernando, Seng W. Loke, and Wenny Rahayu. Mobile cloud computing: a Survey. Future Gener. Comput. Syst., 29(1):84–106, January 2013.

    Google Scholar 

  9. Frank H.P. Fitzek and Marcos D. Katz. Mobile Clouds: Exploiting Distributed Resources in Wireless, Mobile and Social Networks. Wiley Publishing, 1st edition, 2014.

    Google Scholar 

  10. R.K. Ganti, Fan Ye, and Hui Lei. Mobile crowdsensing: current state and future challenges. Communications Magazine, IEEE, 49(11):32–39, November 2011.

    Google Scholar 

  11. Neil Gershenfeld. When Things Start to Think. Henry Holt and Co., Inc., New York, NY, USA, 1999.

    Google Scholar 

  12. Aakar Gupta, William Thies, Edward Cutrell, and Ravin Balakrishnan. mclerk: enabling mobile crowdsourcing in developing regions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1843–1852, Austin, Texas, USA., May 5-10 2012. ACM.

    Google Scholar 

  13. Jeff Howe. The rise of crowdsourcing. Wired magazine, 14(6):1–4, 2006.

    Google Scholar 

  14. Mike Kuniavsky. Smart Things: Ubiquitous Computing User Experience Design: Ubiquitous Computing User Experience Design. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2010.

    Google Scholar 

  15. G. Li, J. Wang, Y. Zheng, and M. J. Franklin. Crowdsourced data management: A survey. IEEE Transactions on Knowledge and Data Engineering, 28(9):2296–2319, Sept 2016.

    Google Scholar 

  16. Adam Marcus and Aditya Parameswaran. Crowdsourced data management: Industry and academic perspectives. Found. Trends databases, 6(1-2):1–161, December 2015.

    Google Scholar 

  17. Viktor Mayer-Schnberger. Big Data: A Revolution That Will Transform How We Live, Work and Think. Viktor Mayer-Schnberger and Kenneth Cukier. John Murray Publishers, UK, 2013.

    Google Scholar 

  18. Pietro Michelucci and Janis L. Dickinson. The power of crowds. Science, 351(6268):32–33, 2015.

    Google Scholar 

  19. Prayag Narula, Philipp Gutheim, David Rolnitzky, Anand Kulkarni, and Bjoern Hartmann. Mobileworks: A mobile crowdsourcing platform for workers at the bottom of the pyramid. Human Computation, 11:11, 2011.

    Google Scholar 

  20. J. Ren, Y. Zhang, K. Zhang, and X. Shen. Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions. Communications Magazine, IEEE, 53(3):98–105, March 2015.

    Google Scholar 

  21. David Rose. Enchanted Objects: Innovation, Design, and the Future of Technology. Simon and Schuster, 2014.

    Google Scholar 

  22. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies. The case for vm-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4):14–23, Oct 2009.

    Google Scholar 

  23. Daniel Sui, Sarah Elwood, and Michael Goodchild, editors. Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Springer, 2013.

    Google Scholar 

  24. Arun Sundararajan. The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. MIT Press, 2016.

    Google Scholar 

  25. Hien To, Cyrus Shahabi, and Leyla Kazemi. A server-assigned spatial crowdsourcing framework. ACM Trans. Spatial Algorithms Syst., 1(1):2:1–2:28, July 2015.

    Google Scholar 

  26. Umair ul Hassan and Edward Curry. Efficient task assignment for spatial crowdsourcing. Expert Syst. Appl., 58(C):36–56, October 2016.

    Google Scholar 

  27. Tingxin Yan, Matt Marzilli, Ryan Holmes, Deepak Ganesan, and Mark Corner. mcrowd: A platform for mobile crowdsourcing. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys ’09, pages 347–348, New York, NY, USA, 2009. ACM.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Seng W. Loke

Authors
  1. Seng W. Loke
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Author(s)

About this chapter

Cite this chapter

Loke, S.W. (2017). Ubiquitous Connections: The Internet of People and Things. In: Crowd-Powered Mobile Computing and Smart Things. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-54436-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54436-6_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54435-9

  • Online ISBN: 978-3-319-54436-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation