Advertisement

A New Algorithm to Estimate Sensing Information for M2M Platform

  • Minsu Kim
  • Kijun Son
  • Tae-Young Byun
Conference paper
  • 715 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 195)

Abstract

In this paper, a new algorithm for reusing the collected information in Machine-to-Machine (M2M) platform is proposed. The proposed algorithm learns the pattern of the events monitored by the deployed devices, and decides the valid functions for time and geographical space. By adopting this algorithm, M2M communication networks are expected to use less transmission power and less computational resources.

Keywords

M2M Sensor Networks Sensing Information Estimation Sampling M2M Platform 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Herstad, A., Nersveen, E., Samset, H., Storsveen, A., Svaet, S., Husa, K.E.: Connected Objects: Building a Service Platform for M2M. In: Intelligence in Next Generation Networks 2009, pp. 1–4 (2009)Google Scholar
  2. 2.
    Cristaldi, L., Faifer, M., Grande, F., Ottoboni, R.: An Improved M2M Platform for Multi-Sensors Agent Application. In: Sensors for Industry Conference 2005, pp. 79–83 (2005)Google Scholar
  3. 3.
    Gonçalves, V., Dobbelaere, P.: Business Scenarios for Machine-to-Machine Mobile Applications. In: Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable 2010, pp. 394–401 (2010)Google Scholar
  4. 4.
    Gritton, B.R.: Inter-enterprise Integration: Moving beyond Data Level Integration. In: OCEANS 2009, pp. 1–10 (2009)Google Scholar
  5. 5.
    Liu, L., Gaedke, M., Koeppel, A.: M2M Interface: a Web Services-based Framework for Federated Enterprise Management. In: IEEE International Conference on Web Services (2005)Google Scholar
  6. 6.
    Eason, G., Noble, B., Sneddon, I.N.: On Certain Integrals of Lipschitz-Hankel Type Involving Products of Bessel Functions. Phil. Trans. Roy. Soc. A247, 529–551 (1955)MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Starsinic, M.: System Architecture Challenges in the Home M2M Network. In: Applications and Technology Conference (LISAT) 2010, pp. 1–7 (2010)Google Scholar
  8. 8.
    Wan, H., Zhang, Y., Luo, S., Liu, R., Ye, W.: The M2M Path-finding Algorithm Based on the Idea of Granular Computing. In: International Joint Conferences on IEEE/WIC/ACM, Web Intelligence and Intelligent Agent Technologies, vol. 2, pp. 533–540 (2009)Google Scholar
  9. 9.
    Kim, D.-H., Song, J.-Y., Cha, S.-K.: Introduction of Case Study for M2M Intelligent Machine Tools. In: IEEE International Symposium on Assembly and Manufacturing, pp. 408–411 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Minsu Kim
    • 1
  • Kijun Son
    • 1
  • Tae-Young Byun
    • 2
  1. 1.Research Center of NPNG Co.DaeguKorea
  2. 2.School of Computer and Information and CommunicationsCatholic University of DaeguGyeongsanRepublic of Korea

Personalised recommendations