Advertisement

Collision-Free Routing in Sink-Centric Sensor Networks with Coarse-Grain Coordinates

  • Alfredo Navarra
  • Cristina M. Pinotti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6460)

Abstract

When the environment does not allow to access directly to disseminated data, a sensor network could be one of the most appropriate solution to retrieve the map of interesting areas. Based on existing approaches, we start our study from the standard random deployment of a sensor network and then we consider a coarse-grain localization algorithm which associates sensors with coordinates related to a central node, called sink. Once each sensor is related to an estimated position, it starts to send data to the sink according to a provided scheduling of communications which takes care of energy consumption, collisions and time. We propose a scheduling of communications based on distributed and fast coloring algorithms which require O(1) computational time. As the localization is referred to coarse-grain coordinates, it happens that more than one sensor is associated with the same coordinates, hence leader-election mechanism is considered.

Keywords

Sensor Network Wireless Sensor Network Time Slot Actor Network Frequency Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Akyildiz, I.F., Kasimoglu, I.H.: Wireless sensor and actor networks: research challenges. Ad Hoc Networks 2(4), 351–367 (2004)CrossRefGoogle Scholar
  2. 2.
    Barsi, F., Bertossi, A., Lavault, C., Navarra, A., Olariu, S., Pinotti, M.C., Ravelomanana, V.: Efficient binary search for training heterogeneous sensor and actor networks. In: Proceedings of the 1st ACM Workshop on Heterogeneous Sensor and Actor Networks (HeterSANET), pp. 17–24 (2008)Google Scholar
  3. 3.
    Barsi, F., Bertossi, A.A., Sorbelli, F.B., Ciotti, R., Olariu, S., Pinotti, M.C.: Asynchronous corona training protocols in wireless sensor and actor networks. IEEE Trans. on Parallel and Distributed Systems 20(8), 1216–1230 (2009)CrossRefGoogle Scholar
  4. 4.
    Barsi, F., Bertossi, A.A., Lavault, C., Navarra, A., Pinotti, C.M., Olariu, S., Ravelomanana, V.: Efficient location training protocols for heterogeneous sensor and actor networks. IEEE Transactions on Mobile Computing (to appear)Google Scholar
  5. 5.
    Bertossi, A.A., Olariu, S., Pinotti, C.M.: Efficient corona training protocols for sensor networks. Theor. Comput. Sci. 402(1), 2–15 (2008)CrossRefzbMATHGoogle Scholar
  6. 6.
    Sorbelli, F.B., Ciotti, R., Navarra, A., Pinotti, M.C., Ravelomanana, V.: Cooperative training in wireless sensor and actor networks. In: Proceedings of the 6th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine). Lecture Notes of the Institute for Computer Science, Social-Informatics and Telecommunications Engineering, vol. 22, pp. 569–583 (2009)Google Scholar
  7. 7.
    Ghidini, G., Pinotti, C.M., Das, S.K.: A Semi-Distributed Localization Protocol for Wireless Sensor and Actor Networks. In: 6th IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing, PerSeNS (2010)Google Scholar
  8. 8.
    Melodia, T., Pompili, D., Akyildiz, I.F.: A communication architecture for mobile wireless sensor and actor networks. In: 3rd Annual IEEE Communcations Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 109–118 (2006)Google Scholar
  9. 9.
    Nakano, K., Olariu, S.: Uniform Leader Election Protocols for Radio Networks. IEEE Trans. on Parallel and Distributed Systems 13(5), 516–525 (2002)CrossRefGoogle Scholar
  10. 10.
    Navarra, A., Pinotti, C.M., Ravelomanana, V., Sorbelli, F.B., Ciotti, R.: Cooperative Training for High Density Sensor and Actor Networks. IEEE Journal of Selected Areas in Communications 28(5), 753–763 (2010)CrossRefGoogle Scholar
  11. 11.
    Olariu, S., Wada, A., Wilson, L., Eltoweissy, M.: Wireless sensor networks: leveraging the virtual infrastructure. IEEE Network 18(4), 51–56 (2004)CrossRefGoogle Scholar
  12. 12.
    Olariu, S., Xu, Q., Wada, A., Stojmenovic, I.: A Virtual Infrastructure for Wireless Sensor Networks. John Wiley & Sons, Chichester (2005)CrossRefGoogle Scholar
  13. 13.
    Sohrabi, K., Gao, J., Ailawadhi, V., Pottie, G.J.: Protocols for self-organization of a wireless sensor network. IEEE Personal Communications 7, 16–27 (2000)CrossRefGoogle Scholar
  14. 14.
    Wadaa, A., Olariu, S., Wilson, L., Eltoweissy, M., Jones, K.: Training a wireless sensor network. Mob. Netw. Appl. 10(1-2), 151–168 (2005)CrossRefGoogle Scholar
  15. 15.
    Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Computer Networks 52(12), 2292–2330 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alfredo Navarra
    • 1
  • Cristina M. Pinotti
    • 1
  1. 1.Dipartimento di Matematica e InformaticaUniversità degli Studi di PerugiaPerugiaItaly

Personalised recommendations