Skip to main content
Log in

Mitigating location management traffic via aggregation in multi-hop cellular networks

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

In high mobility areas such as shopping malls and transportation stations, mobile users tend to move in and out in a bursty fashion, and hence location update (LU) and paging signaling cause substantial traffic burden to the cellular networks, leading to signaling congestion. This poses a great challenge to the system design for wireless cellular systems. Traditional cellular systems cannot cope with this situation very well. However, with the ad hoc operational mode recently introduced into the cellular systems, the added multi-hop relaying via mobile devices provides a new way to mitigate location management traffic. In this paper, based on this new architecture, we propose a novel scheme, called aggregative location management, which aggregates multiple location updates into group location updates. For the scenarios of high capacity transit (HCT) systems, we use this grouping scheme to alleviate the signaling traffic when mobile users in an HCT move into new location areas. For other scenarios with mass arrivals of LU requests, we develop a generic aggregative location management scheme in which LU requests can be first aggregated by designated mobile devices and then are periodically sent to the location registers. Performance evaluation is carried out and shows their significant effectiveness.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ma, W., &, Fang, Y. (2004). Dynamic hierarchical mobility management strategy for mobile IP networks. IEEE Journal on Selected Areas in Communications (Special Issue on All-IP Wireless Networks,) 22(4), 664–676.

    Article  Google Scholar 

  2. Fang, Y. (2003). Movement-based location management and tradeoff analysis for wireless mobile networks. IEEE Transactions on Computers (Special Issue on Wireless Internet), 52(6), 791–803.

    Google Scholar 

  3. Fang, Y. (2002). General modeling and performance analysis for location management in wireless mobile networks. IEEE Transactions on Computers , 51(10), 1169–1181.

    Article  Google Scholar 

  4. Ma, W., &, Fang, Y. (2002). Two-level pointer forwarding strategy for loc ation management in PCS networks. IEEE Transactions on Mobile Computing, 1(1), 32–45.

    Article  Google Scholar 

  5. Wang, F., Tu, L., Zhang, F., &, Huang, Z. (2005). Group location update scheme and performance analysis for location management in mobile network. In IEEE 61st semiannual vehicular technology conference, Stockholm, Sweden.

  6. Zhang, Y., &, Fujise, M. (2007). Location management congestion problem in wireless networks. IEEE Transactions on Vehicular Technology, 56(2), 942–954.

    Article  Google Scholar 

  7. Zhao, H., Huang, R., &, Fang, Y. (2011). Resolving RACH congestion for high speed moving group in wireless networks. In ICC 2011 Kyoto, Japan.

  8. 3GPP Group (2005). All-IP network (AIPN) feasibility study. 3GPP TS 22.978 V7.1.0.

  9. Bhargava B., Wu X., Lu Y., &, Wang W. (2004) Integrating heterogeneous wireless technologies: A cellular aided mobile ad hoc network (CAMA). ACM Special Issue of the Journal on Special Topics in Mobile Networking and Applications (MONET), 9(4), 393–408.

    Article  Google Scholar 

  10. Lin, Y., &, Hsu, Y. (2000). Multi-hop cellular: A new architecture for wireless communications. In Infocom’00, Tel-Aviv, Israel.

  11. Luo, H., Ramjee, R., Sinha, P., Li, L., &, Lu, S. (2003). UCAN: A unified cellular and ad-hoc network architecture. In Mobicom’03, San Diego, CA.

  12. Cavalcanti D., Agrawal D., Cordeiro C., Xie B., &, Kumar A. (2005) Issues in integrating cellular networks WLANs, and MANETs: A futuristic heterogeneous wireless network. Wireless Communications, IEEE, 16(3), 30–41.

    Article  Google Scholar 

  13. Law, L., Krishnamurthy, S., &, Faloutsos, M. (2008). Capacity of hybrid cellular-ad hoc data networks. In Infocom’08, Phoenix, AZ.

  14. Ma, W., &, Fang, Y. (2005). A pointer forwarding based local anchoring (POFLA) scheme for wireless networks. IEEE Transactions on Vehicular Technology, 54(3), 1135–1146.

    Article  Google Scholar 

  15. Wong, V., &, Leung, V. (2001). An adaptive distance-based location update algorithm for pcs networks. IEEE Journal of Selected Areas in Communications, 19(10), 1942–1952.

    Article  Google Scholar 

  16. Akyildiz, I., Ho, J., &, Lin, Y. (1996). Movement-based location update and selective paging for pcs networks. IEEE/ACM Transactions on Networking (TON), 4(4), 629–638.

    Article  Google Scholar 

  17. Misra, A., Roy, A., &, Das, S. (2008). Information-theory based optimal location management schemes for integrated multi-system wireless networks. IEEE/ACM Transactions on Networking (TON) 16(3), 525–538.

    Article  Google Scholar 

  18. Zang, H., &, Bolot, J. (2007). Mining call and mobility data to improve paging efficiency in cellular networks. In MOBICOM’07, Montreal, Canada.

  19. Han, I., &, Cho, D. (2004). Group location management for mobile subscribers on transportation systems in mobile communication networks. IEEE Transactions on Vehicular Technology (TVT), 53(1), 181–191.

    Article  MathSciNet  Google Scholar 

  20. Kastell, K., Bug, S., Nazarov, A., &, Jakoby, R. (2006). Improvements in railway communication via GSM-R. In vehicular technology conference IEEE 63rd, Melbourne, Vic.

  21. Levine, D., Akyildiz, I., &, Naghshineh, M.A (1997). Resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept. IEEE/ACM Transactions on Networking (TON), 5(1), 1–12.

    Article  Google Scholar 

  22. Li, J., Kameda, H., &, Li, K. (2000). Optimal dynamic mobility management for pcs networks. IEEE/ACM Transactions on Networking (TON), 8(3), 25–33.

    Google Scholar 

Download references

Acknowledgments

This work was partially supported by the National Science Foundation under Grants CNS-0916391 and CNS-1147813. The work of Y. Fang was also partially supported by the National Natural Science Foundation of China under grant No. 61003300.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuguang Fang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huang, R., Zhao, H. & Fang, Y. Mitigating location management traffic via aggregation in multi-hop cellular networks. Wireless Netw 19, 1563–1575 (2013). https://doi.org/10.1007/s11276-013-0553-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-013-0553-5

Keywords

Navigation