Distributed and Parallel Databases

, Volume 34, Issue 1, pp 101–117 | Cite as

Merging sub-networks in self-managed vehicular ad-hoc networks

  • Cándido Caballero-Gil
  • Pino Caballero-Gil
  • Jezabel Molina-Gil
Article

Abstract

The most widespread wireless technology for mobile ad-hoc networks nowadays is Wi-Fi based on the IEEE 802.11 standard. The working procedure of this protocol produces various problems when multiple sub-networks are merged. The main drawbacks that may cause inability to communicate are the IP duplication and the existence of sub-networks in different channels. This paper proposes a practical solution to these problems, which does not cause any network overload and does not affect the data management of connections. Furthermore, it has been fully implemented in a new tool developed to create a vehicular ad-hoc network using only smartphones. Both a straightforward deterministic algorithm and a more complex scheme taking into account the interferences between wireless channels from a fuzzy logic point of view are defined here. Promising results regarding performance and security have been obtained from the analysis of large-scale NS2 simulations based on data got from implementations with real devices.

Keywords

Sub-network VANET IEEE 802.11 Large-scale simulation 

References

  1. 1.
    Arani, F., Smietana, R., Honary, B.: Real-time channel estimation using Fuzzy logic, IEEE International Symposium on Information Theory, pp. 289, (1995)Google Scholar
  2. 2.
    Caballero-Gil, C., Caballero-Gil, P., Molina-Gil, J.: Self-organizing life cycle of mobile ad-hoc networks. Secur. Commun. Netw. 5(10), 1147–1158 (2012)CrossRefGoogle Scholar
  3. 3.
    Caballero-Gil, P., Caballero-Gil, C., Molina-Gil, J.: VAiPho: VANET application for mobile Phones to avoid traffic jams. University of La Laguna, Spain, International Patent Number PCT/ES2011/000220, http://www.vaipho.com, (2010)
  4. 4.
    Gruenwald, L., Banik, S.M., Lau, C.N.: Managing real-time database transactions in mobile ad-hoc networks. Distrib. Parallel Database 22(1), 27–54 (2007)CrossRefGoogle Scholar
  5. 5.
    Hauser, J.P., Baker, D.J.: Dynamic backbone subnets - DBS/802.11 access point-to-access point routing for 802.11 infrastructure networks, IEEE 802 Plenary Meeting, (2002)Google Scholar
  6. 6.
    Hernández-Goya, C., Caballero-Gil, P., Molina-Gil, J., Caballero-Gil, C: Cooperation enforcement schemes in vehicular ad-hoc networks. Computer Aided Systems Theory-EUROCAST, pp. 429–436 (2009)Google Scholar
  7. 7.
    Kumar, H., Singla, R.K., Malhotra, S.: Issues & trends in auto configuration of IP address in MANET. International Conference on Computer, Communication and Control, pp. 15–17, (2008)Google Scholar
  8. 8.
    La Kloul, L., Valois, F.: Investigating unfairness scenarios in MANET using 802.11b, ACM International Workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, pp. 1–8, (2005)Google Scholar
  9. 9.
    Lin, B.Y., Chen, C.H., Lo, C.C.: A novel speed estimation method using location service events based on fingerprint positioning. Adv. Sci. Lett. 4, 11–12 (2011)Google Scholar
  10. 10.
    Liu, M., Lai, T.H., Liu, M.T.: Is clock synchronization essential for power management in IEEE 802.11-based mobile ad-hoc networks, IEEE International Conference on Mobile Ad-hoc and Sensor Systems, (2005)Google Scholar
  11. 11.
    Luo, J., Li, W., Liu, B.: Distributed intelligent network management model for the large-scale computer network. Comput. Support. Coop. Work Des. 3865, 313–323 (2006)Google Scholar
  12. 12.
    Mantoro, T., Ayu, M., Raman, S., Latiff, N.: Particle filter approach for tracking indoor user location using IEEE 802.11 signals. Adv. Sci. Lett. 9(1), 86–91 (2012)CrossRefGoogle Scholar
  13. 13.
    Nawaz, R., Sun, S.: Channel estimation in 802.11G in the presence of bluetooth interference, European Signal Processing Conference, (2008)Google Scholar
  14. 14.
    Ramachandran, K., Belding, E., Almeroth, K., Buddhikot, M.M.: Interference aware channel assignment in multi-radio wireless mesh networks. IEEE INFOCOM 6, 1–12 (2006)Google Scholar
  15. 15.
    Skalli, H., Ghosh, S., Das, S.K., Lenzini, L., Conti, M.: Channel assignment strategies for multiradio wireless mesh networks: issues and solutions. IEEE Commun. Mag. 45(11), 86–95 (2007)CrossRefGoogle Scholar
  16. 16.
    Tanaka, H., Masugata, O., Ohta, D., Hasegawa, A., Davis, P.: Fast, self-adaptive timing synchronisation algorithm for 802.11 MANET. Electron. Lett. 42(16), 932–933 (2006)CrossRefGoogle Scholar
  17. 17.
    Wilson, H., Walr, J.: A multi-channel MAC proposal for ad-hoc wireless networks, IEEE Wireless Communications and Networking Conference, (2007)Google Scholar
  18. 18.
    Xing, Z., Gruenwald, L.: Managing concurrent execution of transactions in mobile ad-hoc network database systems: an energy-efficient approach. Distribut. Parallel Databases 31(2), 183–230 (2013)CrossRefGoogle Scholar
  19. 19.
    Yang, K., Wang, X.: Network planning for multi-radio cognitive wireless networks, European Signal Processing Conference, (2006)Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Cándido Caballero-Gil
    • 1
  • Pino Caballero-Gil
    • 1
  • Jezabel Molina-Gil
    • 1
  1. 1.Department of Computer EngineeringUniversity of La LagunaTenerifeSpain

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