A New Algorithm to Estimate Sensing Information for M2M Platform

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.

[1]  Philippe Dobbelaere,et al.  Business Scenarios for Machine-to-Machine Mobile Applications , 2010, 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR).

[2]  Bruce R. Gritton.  Inter-enterprise integration — Moving beyond data level integration , 2009, OCEANS 2009.

[3]  B. Noble,et al.  On certain integrals of Lipschitz-Hankel type involving products of bessel functions , 1955, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[4]  F StarsinicMichael,et al.  System architecture challenges in the home M2M network , 2010, LISAT 2010.

[5]  R. Ottoboni,et al.  An Improved M2M Platform for Multi-Sensors Agent Application , 2005, 2005 Sensors for Industry Conference.

[6]  Knut Eilif Husa,et al.  Connected objects: Building a service platform for M2M , 2009, 2009 13th International Conference on Intelligence in Next Generation Networks.

[7]  Lei Liu,et al.  M2M interface: a Web services-based framework for federated enterprise management , 2005, IEEE International Conference on Web Services (ICWS'05).

[8]  Ruijie Liu,et al.  The M2M Pathfinding Algorithm Based on the Idea of Granular Computing , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[9]  Jun-Yeob Song,et al.  Introduction of case study for M2M intelligent machine tools , 2009, 2009 IEEE International Symposium on Assembly and Manufacturing.