Skip to main content
Log in

Hidden Terminal Aware Clustering for Large-scale D2D Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In device-to-device (D2D) environments where a number of wireless nodes are connected in ad hoc mode, the most popular mechanism for multiple access control is CSMA/CA as in IEEE 802.11 networks. Consequently, a considerable number of hidden terminals can be found in large-scale and dense D2D networks, and usually they may cause severe performance problems. Previous studies to improve the hidden terminal problem in dense wireless networks have suggested various solutions: e.g., channel assignment, transmit power control, and grouping schemes. In this paper, we adopt a different approach—a hidden terminal aware clustering mechanism, which detects the hidden terminals and enables the nodes to form clusters based on the detected information. A simple polling-based channel access scheme is also proposed such that all nodes belonging to a same cluster can access channel through their neighbors’ polling, which eliminates the hidden terminal problem. Mathematical analysis and simulations show that our proposed scheme significantly improves the performance of large-scale D2D networks.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Asadi, A., & Mancuso, V. (2013). WiFi direct and LTE D2D in action. In 2013 IFIP Wireless Days (WD) (pp. 1–8) IEEE.

  2. Camps-Mur, D., Garcia-Saavedra, A., & Serrano, P. (2013). Device-to-device communications with Wi-Fi Direct: Overview and experimentation. IEEE Wireless Communications, 20(3), 96–104.

    Article  Google Scholar 

  3. Liu, K., et al. (2016). Development of mobile Ad-hoc networks over Wi-Fi direct with off-the-shelf android phones. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6) IEEE.

  4. IEEE 802.11-2012. Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE (2012).

  5. Wang, X., Derakhshani, M., & Le-Ngoc, T. (2014). Self-organizing channel assignment for high density 802.11 WLANs. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC) (pp. 1637–1641) IEEE.

  6. Deng, D.-J., Chen, Y.-S., & Wong, Y.-S. (2013). Adaptive channel allocation strategy for mobile ad hoc networks. Mathematical and Computer Modeling, 57(11–12), 2720–2730.

    Article  MathSciNet  MATH  Google Scholar 

  7. Lei, X., & Rhee, S. H. (2015). Performance enhancement of overlapping BSSs via dynamic transmit power control. EURASIP Journal on Wireless Communications and Networking, 2015(8), 1–8.

    Google Scholar 

  8. Marchanga, J., Ghita, B., & Lancaster, D. (2017). Location based transmission using a neighbor aware with optimized EIFS MAC for ad hoc networks. Ad Hoc Networks, 63, 62–78.

    Article  Google Scholar 

  9. Chau, C.-K., et al. (2017). Effective static and adaptive carrier sensing for dense wireless CSMA networks. IEEE Transactions on Mobile Computing, 16(2), 355–366.

    Article  Google Scholar 

  10. Lei, X., & Rhee, S. H. (2016). Improving the IEEE 802.11 power-saving mechanism in the presence of hidden terminals. EURASIP Journal on Wireless Communications and Networking, 2016(26), 1–10.

    Google Scholar 

  11. Yuan, Y., Arbaugh, W. A., & Lu, S. (2007). Towards scalable MAC design for High-speed Wireless LANs. EURASIP Journal on Wireless Communications and Networking, 2007, 12597.

    Article  Google Scholar 

  12. Abichar, Z., & Chang, J. M. (2013). Group-based medium access control for IEEE 802.11n wireless LANs. IEEE Transactions on Computing, 2(12), 304–317.

    Article  Google Scholar 

  13. Yang, Y., & Roy, S. (2014). Grouping-based MAC protocols for EV charging data transmission in smart metering network. IEEE Journal on Selected Areas in Communications, 32(7), 1328–1343.

    Article  Google Scholar 

  14. Yoon, S.-G., Seo, J.-O., & Bahk, S. (2016). Regrouping algorithm to alleviate the hidden node problem in 802.11ah networks. Computer Networks, 105(5), 22–32.

    Article  Google Scholar 

  15. Damayanti, W., Kim, S., & Yun, J.-H. (2016). Collision chain mitigation and hidden device-aware grouping in large-scale IEEE 802.11ah networks. Computer Networks, 108(5), 296–306.

    Article  Google Scholar 

  16. Tseng, Y.-C., Ni, S.-Y., & Shih, E.-Y. (2003). Adaptive approaches to relieving broadcast storms in a wireless multihop mobile Ad hoc network. IEEE Transactions on Computer, 52(5), 545–557.

    Article  Google Scholar 

  17. Bianchi, Giusepe. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18, 535–547.

    Article  Google Scholar 

  18. OPNET modeler. www.riverbed.com. Accessed 1 Feb 2018.

Download references

Acknowledgements

This work was supported by Natural Science Foundation of the Jiangsu Higher Education Institutions (16KJB520044), Basic Science Research Program through the National Research Foundation of Korea (2017R1D1A1B03028184), and in part by the Sabbatical Grant of Kwangwoon University in 2017.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seung Hyong Rhee.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rhee, S.H., Lei, X. Hidden Terminal Aware Clustering for Large-scale D2D Networks. Wireless Pers Commun 107, 1367–1381 (2019). https://doi.org/10.1007/s11277-018-5746-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5746-x

Keywords

Navigation