Skip to main content

Game-Based Mobile Traffic Sharing with WiFi

  • Conference paper
  • First Online:
Communications and Networking (ChinaCom 2017)

Abstract

Mobile data traffic is important for the remote device control in Internet of Things (IoT). Due to heterogeneous usage and subscribed data caps, mobile traffic sharing is attractive for the users. This paper mainly studies how the users share the leftover traffic efficiently. In particular, it presents a framework that allows the users to share their traffic based on WiFi. The framework can collect all the users’ bids, and then the sellers allocate their traffic according to the buyers’ bids. In such scenario, the competition between the buyers exists, so how to bid efficiently is critical for the buyers. This paper models the problem as the non-cooperative game. According to the number of sellers, it considers two different cases. The existence of the Nash Equilibrium in both cases is mathematically proved.

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

Access this chapter

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

References

  1. AT&T.: AT&T sponsored data (2014). http://www.att.com/att/sponsoreddata/en/index.html#fbid=fNjHshoHkg

  2. https://www.hk.chinamobile.com/tc/2cm_intro

  3. Zheng, L., Joe-Wong, C., Tan, C.W., Ha, S., Chiang, M.: Secondary markets for mobile data: feasibility and benefits of traded data plans. In: Proceedings of IEEE INFOCOM (2015)

    Google Scholar 

  4. Sen, S., Joe-Wong, C., Ha, S.: The economics of shared data plans. In: Proceedings of WITS (2016)

    Google Scholar 

  5. Jin, Y., Pang, Z.: Smart data pricing: to share or not to share? In: Proceedings of IEEE INFOCOM Workshops on Smart Data Pricing (2014)

    Google Scholar 

  6. Zeng, L., Joe-Wong, C., Tan, C., Chiang, M., Wang, X.: How to bid the cloud. In: Proceedings of ACM SIGCOMM, pp. 71–84 (2015)

    Google Scholar 

  7. Yu, T., Zhou, Z., Zhang, D., Wang, X., Liu, Y., Lu, S.: Indapson: an incentive data plan sharing system based on self-organizing network. In: Proceedings of IEEE INFOCOM, pp. 1545–1553 (2014)

    Google Scholar 

  8. Feng, G., Garg, S., Buyya, R., et al.: Revenue maximization using adaptive resource provisioning in cloud computing environments. In: Proceedings of IEEE Grid, pp. 192–200 (2012)

    Google Scholar 

  9. Wang, X., Chen, M., Kwon, T., Jin, L., Leung, V.: Mobile traffic offloading by exploiting social network services and leveraging opportunistic device-to-device sharing. IEEE Wirel. Commun. 21(3), 28–36 (2014)

    Article  Google Scholar 

  10. Lee, K., Lee, J., Yi, Y., Rhee, I., Chong, S.: Mobile data offloading: how much can WiFi deliver? IEEE/ACM Trans. Netw. 21(2), 536–550 (2013)

    Article  Google Scholar 

  11. Reny, P.J.: Non cooperative games: equilibrium existence. In: The New Palgrave Dictionary of Economics, 2nd edn. (2005)

    Google Scholar 

Download references

Acknowledgments

The work reported in this paper is supported by NSFC No. 61401482.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongbin Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, R., Wang, Z., Wu, J., Huang, H., Deng, S., Wu, Y. (2018). Game-Based Mobile Traffic Sharing with WiFi. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78130-3_51

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78129-7

  • Online ISBN: 978-3-319-78130-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics