Context-based wireless mesh networks: a case for network virtualization | Telecommunication Systems Skip to main content
Log in

Context-based wireless mesh networks: a case for network virtualization

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Wireless Mesh Networks (WMNs) have gained increasing attention as an attractive means to provide connectivity in complement to access as offered by regular Internet Service Providers (ISPs). Such a grass-root technique, however, often suffers from detrimental operating conditions and poor quality. Network virtualization, on the other hand, has been widely advocated as a possibility to overcome what has often been referred to as the ossification of the Internet. Combining the concept of network virtualization with WMN technology, therefore, appears to be promising and desirable. It is envisioned that well managed multiple Virtual Networks (VNs) may overcome shortcomings of WMNs on the one hand, and extend the reach of the Internet beyond its current confinement into the realm and control of the user on the other hand. In this paper, we argue for a context-based approach for an effective means to extend multi-VNs from the Internet domain into WMN environments. We describe both mobility and preferences as context models in order to create virtualized WMNs based on these types of context models. As a result, it is envisioned to achieve a comprehensive connectivity coverage, accompanied by high assurance in network quality. We further present a distributed solution to manage multi-VNs, and a mobility-aware context use case to demonstrate the usefulness of our approach.

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

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Akyildiz, I., Wang, X., & Wang, W. (2005). Wireless mesh networks: a survey. Computer Networks, 47(4), 445–487.

    Article  Google Scholar 

  2. AN. Information available at http://www.ambient-networks.org/.

  3. Mathieu, B., Song, M., Galis, A., Cheng, L., Jean, K., Ocampo, R., Brunner, M., & Cassini, M. (2007). Self-management of context-aware overlay ambient networks. In Proceedings of 10th IFIP/IEEE international symposium on integrated network management.

    Google Scholar 

  4. Mathieu, B., Song, M., Galis, A., Cheng, L., Jean, K., Ocamo, R., Lai, H., Brunner, M., Stiemerling, M., Cassini, M., & Kampmann, M. (2007). Autonomic management of context-aware ambient overlay networks. In Proceedings of ChinaCom.

    Google Scholar 

  5. Jean, K., Cheng, L., Ocampo, R., & Galis, A. (2006). Contextualisation of management overlays in ambient networks. In Proceedings of international multi-conference on computing in the global information technology.

    Google Scholar 

  6. Cheng, L., Ocampo, R., Jean, K., & Galis, A. (2006). Service-aware overlay adaptation in ambient networks. In Proceedings of international multi-conference on computing in the global information technology.

    Google Scholar 

  7. Al-Oqily, I., & Karmouch, A. (2007). Policy-based context-aware overlay networks. In Proceedings of information infrastructure symposium, GIIS.

    Google Scholar 

  8. Al-Oqily, I., & Karmouch, A. (2007). Automating overlay networks management. In Proceedings of 21st international conference on advanced networking and applications, AINA.

    Google Scholar 

  9. Neto, A., Sargento, S., Logota, E., Antoniou, J., & Pinto, F. (2009). Multiparty session and network resource control in the context casting (c-cast) project. In Proceedings of 2nd international workshop on future multimedia networking, FMN.

    Google Scholar 

  10. PlanetLab. An open platform for developing, deploying, and accessing planetary-scale services. Information available at http://www.planet-lab.org/.

  11. VINI. A virtual network infrastructure. Information available at http://www.vini-veritas.net/.

  12. GENI. Global environment for network innovations. Information available at http://www.geni.net/.

  13. Feamster, N., Gao, L., & Rexford, J. (2007). How to lease the Internet in your spare time. ACM SIGCOOM, 37(1), 61–64.

    Article  Google Scholar 

  14. Subramanian, A., Buddhikot, M., & Miller, S. (2006). Interference aware routing in multi-radio wireless mesh networks. In Proceedings of 2nd workshop on wireless mesh networks, WiMesh.

    Google Scholar 

  15. Staub, T., Braun, T. (2008). Atom: adaptive transport over multipaths in wireless mesh networks. In Proceedings of 2nd ERCIM workshop on eMobility.

    Google Scholar 

  16. Hu, P., Robinson, R., Portmann, M., & Indulska, J. (2008). Context-aware routing in wireless mesh networks. In Proceedings of CEASEMANS.

    Google Scholar 

  17. Lin, T., Wang, C., & Lin, P. C. (2008). A neural-network-based context-aware handoff algorithm for multimedia computing. ACM Transactions on Multimedia Computing, Communications and Applications, 4(3), 17–23.

    Article  Google Scholar 

  18. Oh, M. (2008). An adaptive routing algorithm for wireless mesh networks. In Proceedings of 10th international conference on advanced communication technology, ICACT.

    Google Scholar 

  19. Määttä, J., & Bräysy, T. (2009). A novel approach to fair routing in wireless mesh networks. EURASIP Journal on Wireless Communications and Networking.

  20. Langar, R., Bouabdallah, N., & Boutaba, R. (2009). Mobility-aware clustering algorithms with interference constraints in wireless mesh networks. Computer Networks, 53(1), 25–44.

    Article  Google Scholar 

  21. Ren, M., Liu, C., Zhao, H., Zhao, T., & Yan, W. (2007). Memo: an applied wireless mesh network with client support and mobility management. In Proceedings of global telecommunications conference, GLOBECOM.

    Google Scholar 

  22. Fan, Y., Zhang, J., & Shen, X. (2008). Mobility-aware multi-path forwarding scheme for wireless mesh networks. In Proceedings of wireless communications and networking conference, WCNC.

    Google Scholar 

  23. Couto, L. A., Barraca, J. A. P., Sargento, S., & Aguiar, R. L. (2009). FastM in WMN: a fast mobility support extension for wireless mesh networks. In Proceedings of 2nd international conference on advances in mesh networks, MESH.

    Google Scholar 

  24. Amir, Y., Danilov, C., Hilsdale, M., Musǎloiu-Elefteri, R., & Rivera, N. (2006). Fast handoff for seamless wireless mesh networks. In Proceedings of ACM MobiSys.

    Google Scholar 

  25. Shrestha, S. L., Lee, J., & Chong, S. (2008). Virtualization and slicing of wireless mesh network. In Proceedings of international conference on future Internet technologies.

    Google Scholar 

  26. Zhu, C., Wu, D., Cheng, W., & Yang, Z. (2008). Efficient overlay multicast strategy for wireless mesh networks. In Proceedings of VTC-Fall.

    Google Scholar 

  27. Reaz, A., Ramamurthi, V., Ghosal, D., Benko, J., Wei, L., Dixit, S., & Mukherjee, B. (2008). Enhancing multi-hop wireless mesh networks with a ring overlay. In Proceedings of SECON workshops.

    Google Scholar 

  28. Burresi, S., Canali, C., Renda, M. E., & Santi, P. (2008). Meshchord: a location-aware, cross-layer specialization of chord for wireless mesh networks (concise contribution). In Proceedings of international conference on pervasive computing and communications.

    Google Scholar 

  29. Stoica, I., Morris, R., Liben-Nowell, D., Karger, D. R., Kaashoek, M. F., Dabek, F., & Balakrishnan, H. (2003). Chord: a scalable peer-to-peer lookup protocol for Internet applications. IEEE/ACM Trans. Net., 11(1).

  30. Pereira, R., Souza, R., & Pellenz, M. (2008). Overlay cognitive radio in wireless mesh networks. In Proceedings of VTC-Fall.

    Google Scholar 

  31. Houyou, A. M., Stenzer, A., & de Meer, H. (2008). Performance evaluation of overlay-based range queries in mobile systems. In Proceedings of EuroNGI workshop.

    Google Scholar 

  32. Dey, A. K. (2000). Providing architectural support for building context-aware applications. PhD thesis, Georgia Institute of Technology, Atlanta, GA, USA.

  33. Peterson, L., Shenker, S., & Turner, J. (2004). Overcoming the Internet impasse through virtualization. In Proceedings of ACM workshop on HotNets.

    Google Scholar 

  34. Yuy, M., Yiz, Y., Rexfordy, J., & Chiang, M. (2008). Rethinking virtual network embedding: substrate support for path splitting and migration. ACM SIGCOOM, 38(2), 17–29.

    Article  Google Scholar 

  35. Zhu, Y., & Ammar, M. (2006). Algorithms for assigning substrate network resources to virtual network components. In Proceedings of INFOCOM.

    Google Scholar 

  36. Matos, R., & Sargento, S. (2009). Context-aware connectivity and mobility in wireless mesh networks. In Proceedings of 1st international ICST conference on mobile networks and management, MONAMI.

    Google Scholar 

  37. DAIDALOS. Designing advanced interfaces for the delivery and administration of location independent optimised personal services. Information available at http://www.ist-daidalos.org/.

  38. Max, S., Stibor, L., Hiertz, G., & Denteneer, D. (2007). IEEE 802.11s mesh network deployment concepts. In Proceedings of 13th European wireless conference: enabling technologies for wireless multimedia communications.

    Google Scholar 

  39. Weidmann, U. (1992). Transporttechnik der Fußgänger. Schriftenreihe des IVT 90, ETH Zürich (in German).

  40. Mar, J., Ko, C. C., Chen, S. E., & Li, C. H. (2008). The effect of user mobility on the traffic performance of mobile WiMax for multimedia services over the planned cells. In Proceedings of ACM international conference on mobile technology, applications, and systems, mobility.

    Google Scholar 

  41. Rohani, B., & Zepernick, H. J. (2006). Application of a perceptual speech quality metric in power control of UMTS. In Proceedings of ACM international workshop on quality of service & security for wireless and mobile networks, Q2SWinet.

    Google Scholar 

  42. Gossa, J., Janecek, A., Hummel, K., Gansterer, W., & Pierson, J. M. (2008). Proactive replica placement using mobility prediction. In Proceedings of mobile data management workshops, MDMW.

    Google Scholar 

  43. Yavas, G., Katsaros, D., Ulusoy, O., & Manolopoulos, Y. (2005). A data mining approach for location prediction in mobile environments. Data and Knowledge Engineering, 54(2).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ricardo Matos.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Matos, R., Sargento, S., Hummel, K.A. et al. Context-based wireless mesh networks: a case for network virtualization. Telecommun Syst 51, 259–272 (2012). https://doi.org/10.1007/s11235-011-9434-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-011-9434-3

Keywords

Navigation