Probabilistic Model for M2M in IoT networking and communication

In this paper, a probabilistic model for M2M in IoT networking and communication mode is presented with mobile and dynamic machines in the network. The scenario is considered stochastic and thus probability distribution describing the times between successive machines entry in to the network is predicted by means of a graph. A graph based model is also presented to find the shortest path and lowest cost between machines. For large scale network, parallel M2M establish connection inside a network and are partitioned and dynamically refigured such as IoT. Simulation were performed for multiple M2M array for different state, timing and power consumption along with the scheduling scheme are considered.

[1]  Jhing-Fa Wang,et al.  Parallel Reconfigurable Computing-Based Mapping Algorithm for Motion Estimation in Advanced Video Coding , 2012, TECS.

[2]  Seungmin Rho,et al.  Interactive scheduling for mobile multimedia service in M2M environment , 2013, Multimedia Tools and Applications.

[3]  Anand Paul High Performance Adaptive Deblocking Filter for H.264/AVC , 2013 .

[4]  Athanasios V. Vasilakos,et al.  BASA: building mobile Ad-Hoc social networks on top of android , 2014, IEEE Network.

[5]  Jhing-Fa Wang,et al.  Computation Aware Scheme for Visual Signal Processing , 2010, J. Softw..

[6]  Jhing-Fa Wang,et al.  Programmable Logic Array Design for H.264 Context-Based Adaptive Variable Length Coding , 2006, TENCON 2006 - 2006 IEEE Region 10 Conference.

[7]  Anand Paul,et al.  Graph based orange computing architecture for cyber-physical being , 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

[8]  T.A.A. Victoire,et al.  Particle swarm approach for retiming in VLSI , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[9]  Paul J. M. Havinga,et al.  Unified routing for data dissemination in smart city networks , 2012, 2012 3rd IEEE International Conference on the Internet of Things.

[10]  Victor C. M. Leung,et al.  CAP: community activity prediction based on big data analysis , 2014, IEEE Network.

[11]  Daqiang Zhang,et al.  Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions , 2014, IEEE Communications Magazine.

[12]  Daqiang Zhang,et al.  CRUC: Cold-start Recommendations Using Collaborative Filtering in Internet of Things , 2013, ArXiv.

[13]  Nawal Guermouche,et al.  Graph-Based Formalism for Machine-to-Machine Self-Managed Communications , 2013, 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[14]  Jhing-Fa Wang,et al.  Projection Based Adaptive Window Size Selection for Efficient Motion Estimation in H.264/AVC , 2006, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[15]  Licheng Jiao,et al.  Morphological dilation image coding with context weights prediction , 2010, Signal Process. Image Commun..

[16]  Anand Paul,et al.  Dynamic Power Management for Ubiquitous Network Devices , 2013 .

[17]  Minyi Guo,et al.  Real-Time Locating Systems Using Active RFID for Internet of Things , 2016, IEEE Systems Journal.

[18]  Afonso Ferreira,et al.  Building a reference combinatorial model for MANETs , 2004, IEEE Network.

[19]  Jhing-Fa Wang,et al.  Adaptive search range selection for scalable video coding extension of H.264/AVC , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[20]  Jhing-Fa Wang,et al.  Efficient Intra Prediction in H.264 Based on Intensity Gradient Approach , 2007, 2007 IEEE International Symposium on Circuits and Systems.

[21]  Petri Selonen,et al.  Validating UML models against architectural profiles , 2003, ESEC/FSE-11.

[22]  Anand Paul,et al.  Graph based M2M optimization in an IoT environment , 2013, RACS.

[23]  James Won-Ki Hong,et al.  Towards management of machine to machine networks , 2011, 2011 13th Asia-Pacific Network Operations and Management Symposium.

[24]  Nenad Medvidovic,et al.  Modeling software architectures in the Unified Modeling Language , 2002, TSEM.

[25]  Qiang Ni,et al.  An Evolving Graph-Based Reliable Routing Scheme for VANETs , 2013, IEEE Transactions on Vehicular Technology.

[26]  Azim Eskandarian,et al.  Challenges of intervehicle ad hoc networks , 2004, IEEE Transactions on Intelligent Transportation Systems.

[27]  Jechang Jeong,et al.  Parallel reconfigurable computing and its application to hidden Markov model , 2010 .

[28]  Noel De Palma,et al.  Autonomic management policy specification in Tune , 2008, SAC '08.

[29]  Alfred Strohmeier,et al.  Towards a UML Profile for Software Architecture Descriptions , 2000, UML.